Lai-Wan Chan

Proceedings of the Latent Variable Analysis and Signal Separation, 2012

2011

New approaches for solving permutation indeterminacy and scaling ambiguity in frequency domain separation of convolved mixtures.

[BibT_eX]

[DOI]

Zhitang Chen

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Using Bayesian Network Learning Algorithm to Discover Causal Relations in Multivariate Time Series.

[BibT_eX]

[DOI]

Zhenxing Wang

Proceedings of the 11th IEEE International Conference on Data Mining, 2011

2010

Convolutive blind source separation by efficient blind deconvolution and minimal filter distortion.

[BibT_eX]

[DOI]

Neurocomputing, 2010

An efficient causal discovery algorithm for linear models.

[BibT_eX]

[DOI]

Zhenxing Wang

Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

2009

A Heuristic Partial-Correlation-Based Algorithm for Causal Relationship Discovery on Continuous Data.

[BibT_eX]

[DOI]

Zhenxing Wang

Proceedings of the Intelligent Data Engineering and Automated Learning, 2009

ICA with Sparse Connections: Revisited.

[BibT_eX]

[DOI]

Proceedings of the Independent Component Analysis and Signal Separation, 2009

2008

Discovering Biclusters by Iteratively Sorting with Weighted Correlation Coefficient in Gene Expression Data.

[BibT_eX]

[DOI]

J. Signal Process. Syst., 2008

Discovering Distinct Patterns in Gene Expression Profiles.

[BibT_eX]

[DOI]

J. Integr. Bioinform., 2008

Clustered Dynamic Conditional Correlation Multivariate GARCH Model.

[BibT_eX]

[DOI]

Tu Zhou

Proceedings of the Data Warehousing and Knowledge Discovery, 10th International Conference, 2008

2007

Separating Convolutive Mixtures By Pairwise Mutual Information Minimization.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2007

Order Preserving Clustering by Finding Frequent Orders in Gene Expression Data.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition in Bioinformatics, 2007

Independent Factor Reinforcement Learning for Portfolio Management.

[BibT_eX]

[DOI]

Jian Li

Proceedings of the Intelligent Data Engineering and Automated Learning, 2007

Nonlinear independent component analysis with minimal nonlinear distortion.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2007

Kernel-Based Nonlinear Independent Component Analysis.

[BibT_eX]

[DOI]

Proceedings of the Independent Component Analysis and Signal Separation, 2007

Mining Order Preserving Patterns in Microarray Data by Finding Frequent Orders.

[BibT_eX]

[DOI]

Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007

2006

Dimension reduction as a deflation method in ICA.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2006

An Adaptive Method for Subband Decomposition ICA.

[BibT_eX]

[DOI]

Neural Comput., 2006

Reward Adjustment Reinforcement Learning for Risk-averse Asset Allocation.

[BibT_eX]

[DOI]

Jian Li

Proceedings of the International Joint Conference on Neural Networks, 2006

ICA with Sparse Connections.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Data Engineering and Automated Learning, 2006

Extensions of ICA for Causality Discovery in the Hong Kong Stock Market.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing, 13th International Conference, 2006

Enhancement of Source Independence for Blind Source Separation.

[BibT_eX]

[DOI]

Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006

ICA by PCA Approach: Relating Higher-Order Statistics to Second-Order Moments.

[BibT_eX]

[DOI]

Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006

2005

Extended Gaussianization Method for Blind Separation of Post-Nonlinear Mixtures.

[BibT_eX]

[DOI]

Neural Comput., 2005

To apply score function difference based ICA algorithms to high-dimensional data.

[BibT_eX]

[DOI]

Proceedings of the 13th European Symposium on Artificial Neural Networks, 2005

2004

The Minimum Error Minimax Probability Machine.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2004

Biased Minimax Probability Machine for Medical Diagnosis.

[BibT_eX]

[DOI]

Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2004

Volatility Forecasts in Financial Time Series with HMM-GARCH Models.

[BibT_eX]

[DOI]

Xiong-Fei Zhuang

Proceedings of the Intelligent Data Engineering and Automated Learning, 2004

Outliers Treatment in Support Vector Regression for Financial Time Series Prediction.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing, 11th International Conference, 2004

2003

Dual extended Kalman filtering in recurrent neural networks.

[BibT_eX]

[DOI]

Neural Networks, 2003

Dimension Reduction Based on Orthogonality - A Decorrelation Method in ICA.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003

2002

Extracting error productions from a neural network-based LR parser.

[BibT_eX]

[DOI]

Neurocomputing, 2002

Support Vector Machine Regression for Volatile Stock Market Prediction.

[BibT_eX]

[DOI]

Haiqin Yang

Irwin King

Proceedings of the Intelligent Data Engineering and Automated Learning, 2002

2001

Two regularizers for recursive least squared algorithms in feedforward multilayered neural networks.

[BibT_eX]

[DOI]

Ah Chung Tsoi

IEEE Trans. Neural Networks, 2001

A pruning method for the recursive least squared algorithm.

[BibT_eX]

[DOI]

Neural Networks, 2001

Analyzing Holistic Parsers: Implications for Robust Parsing and Systematicity.

[BibT_eX]

[DOI]

Neural Comput., 2001

Weight Groupings in Second Order Training Methods for Recurrent Networks.

[BibT_eX]

[DOI]

Chi-Cheong Szeto

Int. J. Neural Syst., 2001

2000

Weight Groupings in the Training of Recurrent Networks.

[BibT_eX]

[DOI]

Chi-Cheong Szeto

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

Applying Independent Component Analysis to Factor Model in Finance.

[BibT_eX]

[DOI]

Siu-Ming Cha

Proceedings of the Intelligent Data Engineering and Automated Learning, 2000

1999

Analysis for a class of winner-take-all model.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 1999

Design of trellis coded vector quantizers using Kohonen maps.

[BibT_eX]

[DOI]

Neural Networks, 1999

An Adaptive Bayesian Pruning for Neural Networks in a Non-Stationary Environment.

[BibT_eX]

[DOI]

Gilbert H. Young

Wing-Kay Kan

Neural Comput., 1999

How to Design a Connectionist Holistic Parser.

[BibT_eX]

[DOI]

Neural Comput., 1999

Training recurrent network with block-diagonal approximated Levenberg-Marquardt algorithm.

[BibT_eX]

[DOI]

Chi-Cheong Szeto

Proceedings of the International Joint Conference Neural Networks, 1999

Weighted least square ensemble networks.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference Neural Networks, 1999

1998

An error control scheme for transmission of vector quantization data over noisy channels.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 1998

Isolated word recognition using modular recurrent neural networks.

[BibT_eX]

[DOI]

Tan Lee

Pattern Recognit., 1998

Extended Kalman Filter-Based Pruning Method for Recurrent Neural Networks.

[BibT_eX]

[DOI]

Gilbert H. Young

Neural Comput., 1998

Intra-Block Max-Min Algorithm for Embedding Robust Digital Watermark into Images.

[BibT_eX]

[DOI]

Proceedings of the Multimedia Information Analysis and Retrieval, 1998

Intra-block algorithm for digital watermarking.

[BibT_eX]

[DOI]

Proceedings of the Fourteenth International Conference on Pattern Recognition, 1998

Training Recurrent Neural Networks by Using Parallel Recursive Prediction Error Algorithm.

[BibT_eX]

Daqing Chen

Proceedings of the Fifth International Conference on Neural Information Processing, 1998

An Adaptive Learning Rate for Training Ring-Structured Recurrent Network.

[BibT_eX]

Daqing Chen

Proceedings of the Fifth International Conference on Neural Information Processing, 1998

1997

Yet another algorithm which can generate topography map.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 1997

Stability and statistical properties of second-order bidirectional associative memory.

[BibT_eX]

[DOI]

Edmund Man Kit Lai

IEEE Trans. Neural Networks, 1997

Transmission of vector quantized data over a noisy channel.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 1997

The Behavior of Forgetting Learning in Bidrectional Associative Memory.

[BibT_eX]

[DOI]

Neural Comput., 1997

Confluent Preorder Parsing of Deterministic Grammars.

[BibT_eX]

[DOI]

Connect. Sci., 1997

Automatic recognition of continuous Cantonese speech with very large vocabulary.

[BibT_eX]

[DOI]

Alfred Ying Pang Ng

Proceedings of the Fifth European Conference on Speech Communication and Technology, 1997

Development of a large vocabulary speech database for Cantonese.

[BibT_eX]

[DOI]

Proceedings of the 1997 IEEE International Conference on Acoustics, 1997

1996

Storage behavior and error correction capability of bidirectional associative memory under forgetting learning.

[BibT_eX]

[DOI]

Neural Parallel Sci. Comput., 1996

Attraction Basin of Bidirectional Associative Memories.

[BibT_eX]

[DOI]

Int. J. Neural Syst., 1996

Confluent Preorder Parser as Finite State Automata.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks, 1996

1995

Stability, capacity, and statistical dynamics of second-order bidirectional associative memory.

[BibT_eX]

[DOI]

Edmund Man Kit Lai

IEEE Trans. Syst. Man Cybern., 1995

Tone recognition of isolated Cantonese syllables.

[BibT_eX]

[DOI]

IEEE Trans. Speech Audio Process., 1995

Automatic recognition of Cantonese lexical tones in connected speech by multi-layer perceptron.

[BibT_eX]

[DOI]

Alfred Ying Pang Ng

Proceedings of the Fourth European Conference on Speech Communication and Technology, 1995

An RNN based speech recognition system with discriminative training.

[BibT_eX]

[DOI]

Tan Lee

Proceedings of the Fourth European Conference on Speech Communication and Technology, 1995

Recurrent neural networks for speech modeling and speech recognition.

[BibT_eX]

[DOI]

Tan Lee

Pak-Chung Ching

Proceedings of the 1995 International Conference on Acoustics, 1995

1992

Neural Networks for Collective Translational Invariant Object Recognition.

[BibT_eX]

[DOI]

Int. J. Pattern Recognit. Artif. Intell., 1992

1991

Analysis of the Internal Representations in Neural Networks for Machine Intelligence.

[BibT_eX]

[DOI]