# Lai-Wan Chan

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## Bibliography

2017

On the Relations of Theoretical Foundations of Different Causal Inference Algorithms.

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2017 - 18th International Conference, Guilin, China, October 30, 2017

2016

Causal Discovery on Discrete Data with Extensions to Mixture Model.

ACM TIST, 2016

Causal Inference on Discrete Data via Estimating Distance Correlations.

Neural Computation, 2016

2014

Causal Discovery via Reproducing Kernel Hilbert Space Embeddings.

Neural Computation, 2014

2013

Causality in Linear Nongaussian Acyclic Models in the Presence of Latent Gaussian Confounders.

Neural Computation, 2013

Bridging Information Criteria and Parameter Shrinkage for Model Selection.

CoRR, 2013

Nonlinear Causal Discovery for High Dimensional Data: A Kernelized Trace Method.

Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

2012

Learning bayesian networks from Markov random fields: An efficient algorithm for linear models.

TKDD, 2012

Learning Causal Relations in Multivariate Time Series Data.

ACM TIST, 2012

Causal discovery with scale-mixture model for spatiotemporal variance dependencies.

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Causal Discovery for Linear Non-Gaussian Acyclic Models in the Presence of Latent Gaussian Confounders.

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.

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

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

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

2010

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

Neurocomputing, 2010

An efficient causal discovery algorithm for linear models.

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.

Proceedings of the Intelligent Data Engineering and Automated Learning, 2009

ICA with Sparse Connections: Revisited.

Proceedings of the Independent Component Analysis and Signal Separation, 2009

2008

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

Signal Processing Systems, 2008

Discovering Distinct Patterns in Gene Expression Profiles.

J. Integrative Bioinformatics, 2008

Clustered Dynamic Conditional Correlation Multivariate GARCH Model.

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

2007

Separating Convolutive Mixtures By Pairwise Mutual Information Minimization.

IEEE Signal Process. Lett., 2007

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

Proceedings of the Pattern Recognition in Bioinformatics, 2007

Independent Factor Reinforcement Learning for Portfolio Management.

Proceedings of the Intelligent Data Engineering and Automated Learning, 2007

Nonlinear independent component analysis with minimal nonlinear distortion.

Proceedings of the Machine Learning, 2007

Kernel-Based Nonlinear Independent Component Analysis.

Proceedings of the Independent Component Analysis and Signal Separation, 2007

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

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

2006

Dimension reduction as a deflation method in ICA.

IEEE Signal Process. Lett., 2006

An Adaptive Method for Subband Decomposition ICA.

Neural Computation, 2006

Reward Adjustment Reinforcement Learning for Risk-averse Asset Allocation.

Proceedings of the International Joint Conference on Neural Networks, 2006

ICA with Sparse Connections.

Proceedings of the Intelligent Data Engineering and Automated Learning, 2006

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

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

Enhancement of Source Independence for Blind Source Separation.

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

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

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

2005

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

Neural Computation, 2005

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

Proceedings of the ESANN 2005, 2005

2004

The Minimum Error Minimax Probability Machine.

Journal of Machine Learning Research, 2004

Biased Minimax Probability Machine for Medical Diagnosis.

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

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

Proceedings of the Intelligent Data Engineering and Automated Learning, 2004

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

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

2003

Dual extended Kalman filtering in recurrent neural networks.

Neural Networks, 2003

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

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

2002

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

Neurocomputing, 2002

Support Vector Machine Regression for Volatile Stock Market Prediction.

Proceedings of the Intelligent Data Engineering and Automated Learning, 2002

2001

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

IEEE Trans. Neural Networks, 2001

A pruning method for the recursive least squared algorithm.

Neural Networks, 2001

Analyzing Holistic Parsers: Implications for Robust Parsing and Systematicity.

Neural Computation, 2001

Weight Groupings in Second Order Training Methods for Recurrent Networks.

Int. J. Neural Syst., 2001

2000

Weight Groupings in the Training of Recurrent Networks.

IJCNN (3), 2000

Applying Independent Component Analysis to Factor Model in Finance.

Proceedings of the Intelligent Data Engineering and Automated Learning, 2000

1999

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

IEEE Trans. Neural Networks, 1999

Design of trellis coded vector quantizers using Kohonen maps.

Neural Networks, 1999

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

Neural Computation, 1999

How to Design a Connectionist Holistic Parser.

Neural Computation, 1999

1998

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

IEEE Trans. Signal Processing, 1998

Isolated word recognition using modular recurrent neural networks.

Pattern Recognition, 1998

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

Neural Computation, 1998

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

Proceedings of the Multimedia Information Analysis and Retrieval, 1998

Intra-block algorithm for digital watermarking.

Proceedings of the Fourteenth International Conference on Pattern Recognition, 1998

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

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

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

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

1997

Yet another algorithm which can generate topography map.

IEEE Trans. Neural Networks, 1997

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

IEEE Trans. Neural Networks, 1997

Transmission of vector quantized data over a noisy channel.

IEEE Trans. Neural Networks, 1997

The Behavior of Forgetting Learning in Bidrectional Associative Memory.

Neural Computation, 1997

Confluent Preorder Parsing of Deterministic Grammars.

Connect. Sci., 1997

Automatic recognition of continuous Cantonese speech with very large vocabulary.

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

Development of a large vocabulary speech database for Cantonese.

Proceedings of the 1997 IEEE International Conference on Acoustics, 1997

1996

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

Neural Parallel & Scientific Comp., 1996

Attraction Basin of Bidirectional Associative Memories.

Int. J. Neural Syst., 1996

Confluent Preorder Parser as Finite State Automata.

Proceedings of the Artificial Neural Networks, 1996

1995

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

IEEE Trans. Systems, Man, and Cybernetics, 1995

Tone recognition of isolated Cantonese syllables.

IEEE Trans. Speech and Audio Processing, 1995

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

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

An RNN based speech recognition system with discriminative training.

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

Recurrent neural networks for speech modeling and speech recognition.

Proceedings of the 1995 International Conference on Acoustics, 1995

1992

Neural Networks for Collective Translational Invariant Object Recognition.

IJPRAI, 1992

1991

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

Proceedings of the 9th National Conference on Artificial Intelligence, 1991