徐雷

2026

跨市场竞争中人工智能算法歧视性定价合谋

《管理世界》，Vol. 42, No. 4

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2026

KGFraudDetector:面向财务报表欺诈检测的知识图谱增强图注意力模型

《中文信息学报》

2026

ESG与数字化转型对跨国并购创新绩效的影响研究——基于中国上市公司的实证

《商展经济》

2026

电子商务领域人工智能技术应用标准化研究

《品牌与标准化》

2026

数据论文同行评议指标体系构建研究

《图书馆杂志》

2026

数智融合赋能制造业企业绿色创新能力提升的作用机理与路径研究

《现代商业》

DOI

2026

人工智能赋能质量农业发展：农产品智能检测与质量保障研究进展

《中国农业大学学报》

2026

数智融合驱动制造业绿色创新的内在逻辑、现实困境与对策研究

《全国流通经济》

DOI

2026

企业ESG责任履行与劳动收入份额——兼论ESG的策略性行为

《统计与决策》，Vol. 42, No. 4

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2025

科学交流相关数据模型的构建及其应用进展

《图书馆杂志》，Vol. 44, No. 10

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2024

数据论文叙事模式：语篇结构、数据呈现与实践启示

《情报理论与实践》，Vol. 47, No. 12

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2023

价值共创视角下学术数据库知识服务模式比较研究

《现代情报》，Vol. 43, No. 6

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2022

科学交流语义框架模型构建研究

《现代情报》，Vol. 42, No. 11

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2022

科技文献数据化及组织呈现路径研究

《中国图书馆学报》，Vol. 48, No. 3

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2022

我国研究生学位授权审核的演进特征、现实挑战与优化路径

《高校教育管理》，Vol. 16, No. 2

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2021

充分发挥高校哲学社会科学的育人功能:哲学社会科学课程思政教育教学改革模式初探

《中国大学教学》，No. 12

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2020

作为博士学位授予标准的学术论文发表:逻辑正当性与误区澄清

《学位与研究生教育》，No. 7

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2020

我国高校教师差异化聘用格局的表现、成因及评价

《湖南师范大学教育科学学报》，Vol. 19, No. 2

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2020

移动APP隐私条款可获得性及内容分析研究

《现代情报》，Vol. 40, No. 7

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2019

公立高校教师法律地位的发展走向:公私法益交融下的特殊劳动者

《湖南师范大学教育科学学报》，Vol. 18, No. 2

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2019

事件表示方式及其语义表示模型研究

《情报杂志》，Vol. 38, No. 6

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2018

大学章程性质的法理透视

《北京联合大学学报(人文社会科学版)》，Vol. 16, No. 3

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2018

高校教师聘用制的制度逻辑与演进路径

《高校教育管理》，Vol. 12, No. 3

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2018

几个值得关注的语义出版研究热点

《出版科学》，Vol. 26, No. 2

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2017

大学学位撤销审查路径：美国的经验与启示

《高校教育管理》，Vol. 11, No. 5

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2017

知识网络等相关概念比较分析

《情报科学》，Vol. 35, No. 12

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2017

叙事型图像语义标注模型研究

《中国图书馆学报》，Vol. 43, No. 5

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2017

信息科学“金三角”的故事——纪念常迥先生和程民德先生百年诞辰

《科学》

2017

关于智能医疗研究与发展的思考

《科学》

2017

人工智能第三次浪潮以及若干认知

《科学》

2017

A Comparative Study on Lagrange Ying-Yang Alternation Method in Gaussian Mixture-Based Clustering

Ideal

DOI

2016

美国公立高校教师学术自由保护路径选择——基于宪法和契约的视角

《外国教育研究》，Vol. 43, No. 7

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2016

学位撤销纠纷的司法审查路径研究——基于案例的类型化分析

《学位与研究生教育》，No. 6

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2016

本体评估研究进展

《情报学报》，Vol. 35, No. 7

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2016

语义出版应用与研究进展

《出版科学》，Vol. 24, No. 3

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2015

Image denoising, local factor analysis, Bayesian Ying-Yang harmony learning

DOI

2015

Further advances on Bayesian Ying-Yang harmony learning

Applied Informatics

DOI

2014

语义分析系统研究(Ⅲ)——中华史籍语义分析系统实现

《情报学报》，Vol. 33, No. 2

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2014

敦煌壁画数字图像语义描述方法研究

《中国图书馆学报》，Vol. 40, No. 1

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2014

语义分析系统研究(Ⅱ)——史籍推理机制

《情报学报》，Vol. 33, No. 2

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2014

语义分析系统研究(Ⅰ)——史籍语义分析流程

《情报学报》，Vol. 33, No. 2

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2014

Learning binary factor analysis with automatic model selection

Neurocomputing

DOI

2014

Learning local factor analysis versus mixture of factor analyzers with automatic model selection

Neurocomputing

DOI

2014

Projection-embedded BYY learning algorithm for Gaussian mixture-based clustering

Applied Informatics

DOI

2012

Automatic model selection on local gaussian structures with priors: comparative investigations and applications

2012

A non-Gaussian factor analysis approach to transcription Network Component Analysis

IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology

DOI

2012

Transcription network analysis by a sparse binary factor analysis algorithm.

Journal of Integrative Bioinformatics

DOI

2012

A theoretical investigation of several model selection criteria for dimensionality reduction

Pattern Recognition Letters

DOI

2012

Semi-blind bilinear matrix system, BYY harmony learning, and gene analysis applications

International Conference on New Trends in Information Science, Service Science and Data Mining

2012

Learning Algorithms for RBF Functions and Subspace Based Functions

DOI

2012

On essential topics of BYY harmony learning: Current status, challenging issues, and gene analysis applications

DOI

2012

Discriminative GMM-HMM Acoustic Model Selection Using Two-Level Bayesian Ying-Yang Harmony Learning

Sino-foreign-interchange Workshop on Intelligent Science and Intelligent Data Engineering

DOI

2012

Machine learning and intelligence science: IScIDE (C)

DOI

2011

Discriminative training of GMM-HMM acoustic model by RPCL learning

DOI

2011

Parameterizations make different model selections: Empirical findings from factor analysis

DOI

2011

An investigation of several typical model selection criteria for detecting the number of signals

DOI

2011

A comparative study of RPCL and MCE based discriminative training methods for LVCSR

Neurocomputing

DOI

2011

Codimensional matrix pairing perspective of BYY harmony learning: hierarchy of bilinear systems, joint decomposition of data-covariance, and applications of network biology

DOI

2011

Machine learning and intelligence science: Sino-foreign interchange workshop IScIDE2010 (A)

DOI

2011

Learning Gaussian mixture with automatic model selection: A comparative study on three Bayesian related approaches

DOI

2010

Emerging themes on information theory and Bayesian approach

DOI

2010

Machine learning problems from optimization perspective

Journal of Global Optimization

DOI

2010

Bayesian Ying-Yang system, best harmony learning, and five action circling

DOI

2010

A study of several model selection criteria for determining the number of signals

IEEE International Conference on Acoustics, Speech, and Signal Processing

DOI

2010

Radar HRRP statistical recognition with Local Factor Analysis by automatic Bayesian Ying Yang harmony learning

IEEE International Conference on Acoustics, Speech, and Signal Processing

DOI

2010

GMM-HMM acoustic model training by a two level procedure with Gaussian components determined by automatic model selection

IEEE International Conference on Acoustics, Speech, and Signal Processing

DOI

2010

Gene clustering by structural prior based local factor analysis model under Bayesian Ying-Yang harmony learning

IEEE International Conference on Bioinformatics and Biomedicine

DOI

2010

Learning Algorithms for RBF Functions and Subspace

2009

Combining Classifiers and Learning Mixture-of-Experts

Encyclopedia of Artificial Intelligence

DOI

2009

Independent Subspaces

Encyclopedia of Artificial Intelligence

2009

Canonical Dual Approach to Binary Factor Analysis

International Conference on Agents

DOI

2009

Theoretical Analysis and Comparison of Several Criteria on Linear Model Dimension Reduction

International Conference on Agents

DOI

2008

Bayesian Ying-Yang Learning on Orthogonal Binary Factor Analysis

International Conference on Artificial Neural Networks

DOI

2008

A Comparative Study on Data Smoothing Regularization for Local Factor Analysis

International Conference on Artificial Neural Networks

DOI

2008

Bayesian Ying Yang System, Best Harmony Learning, and Gaussian Manifold Based Family

IEEE World Congress on Computational Intelligence

DOI

2007

A Unified Perspective on Advances of Independent Subspaces: Basic, Temporal, and Local Structures

International Conference on Machine Learning and Computing

DOI

2007

One-Bit-Matching Theorem for ICA, Convex-Concave Programming on Polyhedral Set, and Distribution Approximation for Combinatorics

Neural Computation

DOI

2007

A Trend on Regularization and Model Selection in Statistical Learning: A Bayesian Ying Yang Learning Perspective

Challenges for Computational Intelligence

DOI

2007

Investigation on Multisets Mixture Learning Based Object Detection

International journal of pattern recognition and artificial intelligence

DOI

2007

A unified perspective and new results on RHT computing, mixture based learning, and multi-learner based problem solving

Pattern Recognition

DOI

2007

Speaker Identification by BYY Automatic Local Factor Analysis based Three-Level Voting Combination

2007

COMBINATION OF BUFFERED BACKPROPAGATION AND RPCL-CLP BY MIXTURE OF EXPERTS MODEL FOR FOREIGN EXCHANGE RATE FORECASTING

2007

Model Selection and Automatic Model Selection for Statistical Learning : A Comparative Study on Local Factor Analysis

2006

Investigation on bayesian ying-yang learning for model selection in unsupervised learning

2006

Local Factor Analysis with Automatic Model Selection and Data Smoothing Based Regularization

2006

A Comparative Study on Selection of Cluster Number and Local Subspace Dimension in the Mixture PCA Models

International Symposium on Neural Networks

DOI

2006

Rapid and brief communication: Multisets mixture learning-based ellipse detection

DOI

2006

Comparative Investigation on Dimension Reduction and Regression in Three Layer Feed-Forward Neural Network

International Conference on Artificial Neural Networks

DOI

2006

Local Factor Analysis with Automatic Model Selection: A Comparative Study and Digits Recognition Application

International Conference on Artificial Neural Networks

DOI

2006

A Comparative Investigation on Model Selection in Independent Factor Analysis

J. Math. Model. Algorithms

DOI

2005

Fundamentals, Challenges, and Advances of Statistical Learning for Knowledge Discovery and Problem Solving: A BYY Harmony Perspective

International Conference on Neural Networks and Brain

DOI

2005

Automatic oriental medical diagnosis via BYY learning based discrete independent factor analysis

2005

Statistical Learning for Dependence Mining and Problem Solving: Fundamentals, Challenges, and a Unified Theory

International Conference on Neural Networks and Brain

DOI

2005

A5 problem solving paradigm: a unified perspective and new results on RHT computing, mixture based learning, and evidence combination

IEEE International Conference on Granular Computing

DOI

2005

Asymptotic convergence properties of the EM algorithm with respect to the overlap in the mixture

Neurocomputing

DOI

2005

One-Bit-Matching ICA Theorem, Convex-Concave Programming, and Combinatorial Optimization

International Symposium on Neural Networks

DOI

2005

A Further Result on the ICA One-Bit-Matching Conjecture

Neural Computation

DOI

2004

Bayesian Ying Yang Learning (II): A New Mechanism for Model Selection and Regularization

DOI

2004

Bayesian Ying Yang Learning (I): A Unified Perspective for Statistical Modeling

DOI

2004

Special issue on information theoretic learning.

IEEE Transactions on Neural Networks

2004

One-Bit-Matching Conjecture for Independent Component Analysis

Neural Computation

DOI

2004

A comparative investigation on subspace dimension determination

Neural Networks

DOI

2004

Local Separation Property of the Two-Source ICA Problem with the One-Bit-Matching Condition

Ideal

DOI

2004

Automatic Cluster Number Determination via BYY Harmony Learning

International Symposium on Neural Networks

DOI

2004

A gradient BYY harmony learning rule on Gaussian mixture with automated model selection

Neurocomputing

DOI

2004

White Noise Tests and Synthesis of APT Economic Factors Using TFA

DOI

2004

Advances on BYY harmony learning: information theoretic perspective, generalized projection geometry, and independent factor autodetermination

IEEE Transactions on Neural Networks

DOI

2004

Temporal BYY encoding, Markovian state spaces, and space dimension determination

IEEE Transactions on Neural Networks

DOI

2004

Arbitrage pricing theory-based Gaussian temporal factor analysis for adaptive portfolio management

Decision Support Systems

DOI

2004

NFA FOR FACTOR NUMBER DETERMINATION IN APT

DOI

2004

Investigations on non-Gaussian factor analysis

IEEE Signal Processing Letters

DOI

2004

Guest Editorial Special Issue on Information Theoretic Learning

IEEE Trans. Neural Networks

DOI

2004

Investigation on Several Model Selection Criteria for Determining the Number of Cluster

2003

An annealing approach to BYY harmony learning on Gaussian mixture with automated model selection

International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003

DOI

2003

A Comparative Study of Several Cluster Number Selection Criteria

Ideal

DOI

2003

Local PCA for Strip Line Detection and Thinning

Energy Minimization Methods in Computer Vision and Pattern Recognition

DOI

2003

Distribution approximation, combinatorial optimization, and Lagrange-Barrier

Proceedings of ... International Joint Conference on Neural Networks

DOI

2003

Corrigendum to "BYY learning, regularized implementation, and model selection on modular networks with one hidden layer of binary units" [Neurocomputing 51 (2003) 277-301]

Neurocomputing

DOI

2003

Independent Component Analysis and Extensions with Noise and Time: A Bayesian Ying-Yang Learning Perspective

2003

Dual multivariate auto-regressive modeling in state space for temporal signal separation

IEEE Trans. Syst. Man Cybern. Part B

DOI

2003

Empirical Comparison between Two Computational Strategies for Topological Self-Organization

Ideal

DOI

2003

Proceedings of the 2003 joint international conference on Artificial neural networks and neural information processing

2003

Statistical learning and testing approaches for temporal dependence structures with application to financial engineering

2003

STOCK FORECASTING BY ARCH DRIVEN GAUSSIAN TFA AND ALTERNATIVE MIXTURE-OF-EXPERTS MODELS

2003

Artificial Neural Networks and Neural Information Processing — ICANN/ICONIP 2003

Lecture Notes in Computer Science

DOI

2003

INDEPENDENT COMPONENT ANALYSIS: THE ONE-BIT-MATCHING CONJECTURE AND A SIMPLIFIED LPM-ICA ALGORITHM

DOI

2003

A STATISTICAL APPROACH TO TESTING MUTUAL INDEPENDENCE OF ICA RECOVERED SOURCES

2003

Optimizing Financial Portfolios from the Perspective of Mining Temporal Structures of Stock Returns

IAPR International Conference on Machine Learning and Data Mining in Pattern Recognition

DOI

2003

An iterative algorithm for BYY learning on Gaussian mixture with automated model selection

International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003

DOI

2003

Medical data mining model for oriental medicine via BYY Binary Independent Factor Analysis

Proceedings of the 2003 International Symposium on Circuits and Systems, 2003. ISCAS '03.

DOI

2003

Correction to "dual multivariate auto-regressive modeling in state space for temporal signal separation"

IEEE Trans. Syst. Man Cybern. Part B

DOI

2003

An extended ASLD trading system to enhance portfolio management

IEEE Trans. Neural Networks

DOI

2003

Further studies on temporal factor analysis: comparison and Kalman filter-based algorithm

Neurocomputing

DOI

2003

Improved system for object detection and star/galaxy classification via local subspace analysis

Neural Networks

DOI

2003

On generalized arbitrage pricing theory analysis: empirical investigation of the macroeconomics modulated independent state-space model

2003 IEEE International Conference on Computational Intelligence for Financial Engineering, 2003. Proceedings.

DOI

2003

Finite Mixture of ARMA-GARCH Model for Stock Price Prediction

2003

BYY learning, regularized implementation, and model selection on modular networks with one hidden layer of binary units

Neurocomputing

DOI

2003

Data smoothing regularization, multi-sets-learning, and problem solving strategies

Neural Networks

DOI

2003

Strip line detection and thinning by RPCL-based local PCA

Pattern Recognition Letters

DOI

2003

Data-smoothing regularization, normalization regularization, and competition-penalty mechanism for statistical learning and multi-agents

Proceedings of ... International Joint Conference on Neural Networks

DOI

2002

A Comparative Study on Three MAP Factor Estimate Approaches for NFA

Ideal

DOI

2002

Topological local principal component analysis

Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02.

DOI

2002

Errata to "BYY harmony learning, independent state space, and generalized apt financial analyses"

IEEE Trans. Neural Networks

DOI

2002

A Lagrange Multiplier and Hopfield-Type Barrier Function Method for the Traveling Salesman Problem

Neural Computation

DOI

2002

Financial APT-Based Gaussian TFA Learning for Adaptive Portfolio Management

International Conference on Artificial Neural Networks

DOI

2002

Temporal factor analysis (TFA): stable-identifiable family, orthogonal flow learning, and automated model selection

Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290)

DOI

2002

White Noise Tests and APT Economic Factor Syntheses Using Temporal Factor Analysis

Joint Conference on Information Sciences

2002

An adaptive BYY harmony learning algorithm and its relation to rewarding and penalizing competitive learning mechanism

International Conference on the Software Process

DOI

2002

Mining Dependence Structures from Statistical Learning Perspective

Ideal

DOI

2002

Local subspace analysis for astronomical object detection and star/galaxy classification

Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290)

DOI

2002

A comparative study of Gaussian TFA learning and statistical tests on the factor number in APT

Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290)

DOI

2002

On Convergence of an Iterative Factor Estimate Algorithm for the NFA Model

International Conference on Artificial Neural Networks

DOI

2002

Number of statistical independent factors in arbitrage pricing theory from the perspective of non-Gaussian factor analysis

Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02.

DOI

2002

Stock Price and Index Forecasting by Arbitrage Pricing Theory-Based Gaussian TFA Learning

Ideal

DOI

2002

Convergence analysis of rival penalized competitive learning (RPCL) algorithm

Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290)

DOI

2002

BYY harmony learning, structural RPCL, and topological self-organizing on mixture models

Neural Networks

DOI

2001

A PCA approach for fast retrieval of structural patterns in attributed graphs

IEEE Trans. Syst. Man Cybern. Part B

DOI

2001

Best Harmony, Unified RPCL and Automated Model Selection for Unsupervised and Supervised Learning on Gaussian Mixtures, Three-Layer Nets and ME-RBF-SVM Models

International Journal of Neural Systems

DOI

2001

An Overview on Unsupervised Learning from Data Mining Perspective

Workshop on Self-Organizing Maps

DOI

2001

Independent component ordering in ICA time series analysis

Neurocomputing

DOI

2001

BYY harmony learning, local independent analyses, and APT financial applications

IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222)

DOI

2001

A globally convergent Lagrange and barrier function iterative algorithm for the traveling salesman problem

Neural Networks

DOI

2001

BYY harmony learning, independent state space, and generalized APT financial analyses

IEEE Trans. Neural Networks

DOI

2001

BYY binary independent systems, unsupervised harmony learning, and data mining of production rules

IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222)

DOI

2001

Bayesian Ying-Yang harmony learning, information theory and information geometry

IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222)

DOI

2001

2 Independent Binary Factor Model via BYY harmony learning 2 . 1 Independent Binary Factor

2001

A Dual Structural Radial Basis Function Network for Recursive Function Estimation

2001

Modeling macroeconomic indexes from S&P 500 stocks via arbitrage pricing theory and temporary factor analysis

IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222)

DOI

2001

TESTS OF GAUSSIAN TEMPORAL FACTOR LOADINGS IN FINANCIAL APT

2000

A Robust PCA by LMSER Learning with Iterative Error Reinforcement

2000

An RPCL-based approach for Markov model identification with unknown state number

IEEE Signal Processing Letters

DOI

2000

Temporal BYY learning for state space approach, hidden Markov model, and blind source separation

IEEE Transactions on Signal Processing

DOI

2000

An E cient PCA-type Learning Based on Scaled Conjugate Gradient Algorithm for Fast Signal Subspace Decomposition

2000

New Sharpe-ratio-related methods for portfolio selection

IEEE Conference on Computational Intelligence for Financial Engineering & Economics

DOI

2000

Some global and local convergence analysis on the information-theoretic independent component analysis approach

Neurocomputing

DOI

2000

Adaptive improved portfolio Sharpe ratio maximization with diversification

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium

DOI

2000

Best Harmony Learning

Ideal

DOI

2000

An application of independent component analysis in the arbitrage pricing theory

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium

DOI

2000

Rival Penalized Competitive Learning Based Approach for Discrete-Valued Source Separation

International Journal of Neural Systems

DOI

2000

A Barrier Function Method for the Nonconvex Quadratic Programming Problem with Box Constraints

Journal of Global Optimization

DOI

2000

Asymptotic Convergence Rate of the EM Algorithm for Gaussian Mixtures

Neural Computation

DOI

1999

Temporal Bayesian Ying-Yang dependence reduction, blind source separation and principal independent components

IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339)

DOI

1999

On the study of BKYY cluster number selection criterion for small sample data set with bootstrap technique

IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339)

DOI

1999

Further study of adaptive supervised learning decision (ASLD) network in stock market

Nonlinear Signal and Image Processing

1999

Further improvement of adaptive supervised learning decision (ASLD) network in stock market

IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339)

DOI

1999

An ICA algorithm with adaptive-learned polynomial nonlinearity for signal separation

IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339)

DOI

1999

An empirical method to select dominant independent components in ICA for time series analysis

IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339)

DOI

1999

Region number determination in automatic image segmentation based on BKYY model selection criterion

Nonlinear Signal and Image Processing

1999

The MSE reconstruction criterion for independent component ordering in ICA timeseries analysis

Nonlinear Signal and Image Processing

1999

Bayesian ying-yang supervised learning, modular models, and three layer nets

IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339)

DOI

1999

Temporal BYY learning and its applications to extended Kalman filtering, hidden Markov model, and sensor-motor integration

IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339)

DOI

1999

Bayesian ying-yang theory for empirical learning, regularization and model selection: general formulation

IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339)

DOI

1999

Relationship between mixture of experts and ensemble neural networks

ICONIP'99. ANZIIS'99 & ANNES'99 & ACNN'99. 6th International Conference on Neural Information Processing. Proceedings (Cat. No.99EX378)

DOI

1999

Autoregressive signal separation approach with seesaw-mapping technique on temporal source separation

IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339)

DOI

1999

Data mining, unsupervised learning and Bayesian ying-yang theory

IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339)

DOI

1999

BYY data smoothing based learning on a small size of samples

IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339)

DOI

1998

Cointegration by MCA and modular MCA

IEEE Conference on Computational Intelligence for Financial Engineering & Economics

DOI

1998

BYY dependence reduction theory and blind source separation

1998 IEEE International Joint Conference on Neural Networks Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36227)

DOI

1998

Bayesian Ying-Yang system and theory as a unified statistical learning approach. IV. Further advances

1998 IEEE International Joint Conference on Neural Networks Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36227)

DOI

1998

Adaptive RBF net algorithms for nonlinear signal learning with applications to financial prediction and investment

Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181)

DOI

1998

An Experimental Comparison of the Bayesian Ying-Yang Criteria and Cross Validation on Experts Number Selection in Original and Alternative Model for Mixture of Experts

International Conference on Neural Information Processing

1998

Bayesian Kullback Ying-Yang dependence reduction theory

Neurocomputing

DOI

1998

BKYY Three Layer Net Learning, EM-Like Algorithm, and Selection Criterion for Hidden Unit Number

International Conference on Neural Information Processing

1998

Learned parametric mixture based ICA algorithm

Neurocomputing

DOI

1998

Rival Penalized Competitive Learning Based Separator on Binary Sources Separation

International Conference on Neural Information Processing

1998

BKYY dimension reduction and determination

1998 IEEE International Joint Conference on Neural Networks Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36227)

DOI

1998

Rival penalized competitive learning, finite mixture, and multisets clustering

1998 IEEE International Joint Conference on Neural Networks Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36227)

DOI

1998

An experimental comparison of the Bayesian Ying-Yang criteria and cross validation for selection on number of hidden units in feedforward networks

Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181)

DOI

1998

Application of Bayesian Ying-Yang criteria for selecting the number of hidden units with backpropagation learning to electrocardiogram classification

Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170)

DOI

1998

RBF nets, mixture experts, and Bayesian Ying-Yang learning

Neurocomputing

DOI

1998

Bayesian Ying-Yang System and Theory as a Unified Statistical Learning Approach: (V) Temporal Modeling for Temporal Perception and Control

International Conference on Neural Information Processing

1997

Nonlinearity and Separation Capability: Further Justiication for the Ica Algorithm with a Learned Mixture of Parametric Densities

1997

New advances on Bayesian Ying-Yang learning system with Kullback and non-Kullback separation functionals

International Conference on Neural Networks

DOI

1997

Bayesian Ying Yang System and Theory as A Uni ed Statistical Learning Approach I for Unsupervised and Semi Unsupervised Learning

1997

Independent component analysis by the information-theoretic approach with mixture of densities

International Conference on Neural Networks

DOI

1997

Separation of two independent sources by the information-theoretic approach with cubic nonlinearity

International Conference on Neural Networks

DOI

1997

Bayesian Ying-Yang System and Theory as A Uni ed Statistical Learning Approach (II): From Unsupervised Learning to Supervised Learning and Temporal Modeling ?

1997

Bayesian Ying Yang System and Theory as A Uni ed Statistical Learning Approach III Models and Algorithms for Dependence Reduction Data Dimension Reduction ICA and Supervised Learning

1997

Some further studies on detection the number of clusters

International Conference on Neural Networks

DOI

1997

Adaptive Rival Penalized Competitive Learning and Combined Linear Predictor Model for Financial Forecast and Investment

International Journal of Neural Systems

DOI

1997

An experimental comparative study on several soft and hard-cut EM algorithms for mixture of experts

International Conference on Neural Networks

DOI

1997

Comparative Analysis on Convergence Rates of The EM Algorithm and Its Two Modifications for Gaussian Mixtures

Neural Processing Letters

DOI

1997

Adaptive supervised learning decision networks for traders and portfolios

IEEE Conference on Computational Intelligence for Financial Engineering & Economics

DOI

1997

Bayesian Ying-Yang learning based ICA models

Neural Networks for Signal Processing VII. Proceedings of the 1997 IEEE Signal Processing Society Workshop

DOI

1997

Bayesian Ying-Yang machine, clustering and number of clusters

Pattern Recognition Letters

DOI

1996

Application of adaptive RPCL-CLP with trading system to foreign exchange investment

International Conference on Neural Networks

DOI

1996

Trading mechanisms and return volatility: empirical investigation on Shanghai Stock Exchange based on a neural network model

IEEE Conference on Computational Intelligence for Financial Engineering & Economics

DOI

1996

On Convergence Properties of the EM Algorithm for Gaussian Mixtures

Neural Computation

DOI

1996

Adaptive Rival Penalized Competitive Learning and Combined Linear Predictor with application to financial investment

IEEE Conference on Computational Intelligence for Financial Engineering & Economics

DOI

1996

Learning Multiple Causes by Competition Enhanced least mean Square error Reconstruction

International Journal of Neural Systems

DOI

1996

How many clusters?: A Ying-Yang machine based theory for a classical open problem in pattern recognition

International Conference on Neural Networks

DOI

1996

The probability distribution of parameters learned with the EM algorithm

International Conference on Neural Networks

DOI

1995

Application of Mixture of Experts Model To Financial Time Series Forecasting

1995

Robust principal component analysis by self-organizing rules based on statistical physics approach

IEEE Trans. Neural Networks

DOI

1995

Probabilistic and non-probabilistic Hough transforms: overview and comparisons

Image and Vision Computing

DOI

1995

Bayesian Self-Organization Driven by Prior Probability Distributions

Neural Computation

DOI

1995

Channel equalization by finite mixtures and the EM algorithm

Proceedings of 1995 IEEE Workshop on Neural Networks for Signal Processing

DOI

1995

Least Mean Square Error Reconstruction Learning in Recurrent Network

International Conference on Neural Networks

DOI

1995

A RPCL-CLP architecture for financial time series forecasting

International Conference on Neural Networks

DOI

1995

A Uni ed Learning Framework Multisets Modeling Learning

1994

Multisets modeling learning: an unified theory for supervised and unsupervised learning

International Conference on Neural Networks

DOI