Laiwan Chan - researchr alias

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Viewing Publication 1 - 36 from 36

2019

Model-free inference of diffusion networks using RKHS embeddingsShoubo Hu, Bogdan Cautis, Zhitang Chen, Laiwan Chan, Yanhui Geng, Xiuqiang He. datamine, 33(2):499-525, 2019. [doi]

Domain Generalization via Multidomain Discriminant AnalysisShoubo Hu, Kun Zhang 0001, Zhitang Chen, Laiwan Chan. uai 2018: 101 [doi]

2018

A Kernel Embedding-Based Approach for Nonstationary Causal Model InferenceShoubo Hu, Zhitang Chen, Laiwan Chan. neco, 30(5), 2018. [doi]

Confounder Detection in High-Dimensional Linear Models Using First Moments of Spectral MeasuresFurui Liu, Laiwan Chan. neco, 30(8), 2018. [doi]

2017

On the Relations of Theoretical Foundations of Different Causal Inference AlgorithmsFurui Liu, Laiwan Chan. ideal 2017: 112-119 [doi]

2016

Causal Inference on Discrete Data via Estimating Distance CorrelationsFurui Liu, Laiwan Chan. neco, 28(5):801-814, 2016. [doi]

Causal Discovery on Discrete Data with Extensions to Mixture ModelFurui Liu, Laiwan Chan. tist, 7(2):21, 2016. [doi]

2014

Causal Discovery via Reproducing Kernel Hilbert Space EmbeddingsZhitang Chen, Kun Zhang, Laiwan Chan, Bernhard Schölkopf. neco, 26(7):1484-1517, 2014. [doi]

2013

Causality in Linear Nongaussian Acyclic Models in the Presence of Latent Gaussian ConfoundersZhitang Chen, Laiwan Chan. neco, 25(6):1605-1641, 2013. [doi]

Nonlinear Causal Discovery for High Dimensional Data: A Kernelized Trace MethodZhitang Chen, Kun Zhang, Laiwan Chan. icdm 2013: 1003-1008 [doi]

2012

2011

New approaches for solving permutation indeterminacy and scaling ambiguity in frequency domain separation of convolved mixturesZhitang Chen, Laiwan Chan. ijcnn 2011: 911-918 [doi]

Using Bayesian Network Learning Algorithm to Discover Causal Relations in Multivariate Time SeriesZhenxing Wang, Laiwan Chan. icdm 2011: 814-823 [doi]

2010

An efficient causal discovery algorithm for linear modelsZhenxing Wang, Laiwan Chan. kdd 2010: 1109-1118 [doi]

2009

A Heuristic Partial-Correlation-Based Algorithm for Causal Relationship Discovery on Continuous DataZhenxing Wang, Laiwan Chan. ideal 2009: 234-241 [doi]

ICA with Sparse Connections: RevisitedKun Zhang, Heng Peng, Laiwan Chan, Aapo Hyvärinen. ida 2009: 195-202 [doi]

2008

Discovering Biclusters by Iteratively Sorting with Weighted Correlation Coefficient in Gene Expression DataLi Teng, Laiwan Chan. vlsisp, 50(3):267-280, 2008. [doi]

Discovering Distinct Patterns in Gene Expression ProfilesLi Teng, Laiwan Chan. jib, 5(2), 2008. [doi]

Clustered Dynamic Conditional Correlation Multivariate GARCH ModelTu Zhou, Laiwan Chan. dawak 2008: 206-216 [doi]

2007

2006

Reward Adjustment Reinforcement Learning for Risk-averse Asset AllocationJian Li, Laiwan Chan. ijcnn 2006: 534-541 [doi]

2004

2002

Support Vector Machine Regression for Volatile Stock Market PredictionHaiqin Yang, Laiwan Chan, Irwin King. ideal 2002: 391-396 [doi]

1998

An Adaptive Learning Rate for Training Ring-Structured Recurrent NetworkDaqing Chen, Laiwan Chan. iconip 1998: 1224-1227

Training Recurrent Neural Networks by Using Parallel Recursive Prediction Error AlgorithmDaqing Chen, Laiwan Chan. iconip 1998: 1393-1396

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Publications by 'Laiwan Chan'

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2019

2018

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2004

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1998

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