Wei Chu

List of publications from the DBLP Bibliography Server - FAQ
Coauthor Index - Ask others: ACM DL/Guide - CiteSeer - CSB - Google - MSN - Yahoo

27EEWei Chu, Seung-Taek Park: Personalized recommendation on dynamic content using predictive bilinear models. WWW 2009: 691-700
26EEWei Chu, B. Champagne: A Noise-Robust FFT-Based Auditory Spectrum With Application in Audio Classification. IEEE Transactions on Audio, Speech & Language Processing 16(1): 137-150 (2008)
25EEPannagadatta K. Shivaswamy, Wei Chu, Martin Jansche: A Support Vector Approach to Censored Targets. ICDM 2007: 655-660
24EEWei Chu, Benoît Champagne: An Improved Implementation for an Auditory-Inspired FFT Model with Application in Audio Classification. ICME 2007: 196-199
23EEVikas Sindhwani, Wei Chu, S. Sathiya Keerthi: Semi-Supervised Gaussian Process Classifiers. IJCAI 2007: 1059-1064
22EEKai Yu, Wei Chu: Gaussian Process Models for Link Analysis and Transfer Learning. NIPS 2007
21EERicardo Silva, Wei Chu, Zoubin Ghahramani: Hidden Common Cause Relations in Relational Learning. NIPS 2007
20EEWei Chu, S. Sathiya Keerthi: Support Vector Ordinal Regression. Neural Computation 19(3): 792-815 (2007)
19EEWei Chu, Benoît Champagne: A Simplified Early Auditory Model with Application in Speech/Music Classification. CCECE 2006: 775-778
18EEShirish Krishnaj Shevade, Wei Chu: Minimum Enclosing Spheres Formulations for Support Vector Ordinal Regression. ICDM 2006: 1054-1058
17EEWei Chu: Model Selection: An Empirical Study on Two Kernel Classifiers. IJCNN 2006: 1673-1679
16EEKai Yu, Wei Chu, Shipeng Yu, Volker Tresp, Zhao Xu: Stochastic Relational Models for Discriminative Link Prediction. NIPS 2006: 1553-1560
15EEWei Chu, Vikas Sindhwani, Zoubin Ghahramani, S. Sathiya Keerthi: Relational Learning with Gaussian Processes. NIPS 2006: 289-296
14EEWei Chu, Zoubin Ghahramani, Roland Krause, David L. Wild: Identifying Protein Complexes in High-Throughput Protein Interaction Screens Using an Infinite Latent Feature Model. Pacific Symposium on Biocomputing 2006: 231-242
13EEWei Chu, Xi Xiao, Jia Liu: Confidence Score Based Unsupervised Incremental Adaptation for OOV Words Detection. SSPR/SPR 2006: 723-731
12EEWei Chu, Zoubin Ghahramani, Alexei Podtelezhnikov, David L. Wild: Bayesian Segmental Models with Multiple Sequence Alignment Profiles for Protein Secondary Structure and Contact Map Prediction. IEEE/ACM Trans. Comput. Biology Bioinform. 3(2): 98-113 (2006)
11EEWei Chu, Zoubin Ghahramani: Preference learning with Gaussian processes. ICML 2005: 137-144
10EEWei Chu, S. Sathiya Keerthi: New approaches to support vector ordinal regression. ICML 2005: 145-152
9EES. Sathiya Keerthi, Wei Chu: A matching pursuit approach to sparse Gaussian process regression. NIPS 2005
8EEWei Chu, Zoubin Ghahramani, Francesco Falciani, David L. Wild: Biomarker discovery in microarray gene expression data with Gaussian processes. Bioinformatics 21(16): 3385-3393 (2005)
7EEWei Chu, Zoubin Ghahramani: Gaussian Processes for Ordinal Regression. Journal of Machine Learning Research 6: 1019-1041 (2005)
6EEWei Chu, Zoubin Ghahramani, David L. Wild: Protein secondary structure prediction using sigmoid belief networks to parameterize segmental semi-Markov models. ESANN 2004: 81-86
5EEWei Chu, Zoubin Ghahramani, David L. Wild: A graphical model for protein secondary structure prediction. ICML 2004
4EEKaibo Duan, S. Sathiya Keerthi, Wei Chu, Shirish Krishnaj Shevade, Aun Neow Poo: Multi-category Classification by Soft-Max Combination of Binary Classifiers. Multiple Classifier Systems 2003: 125-134
3EEWei Chu, S. Sathiya Keerthi, Chong Jin Ong: Bayesian Trigonometric Support Vector Classifier. Neural Computation 15(9): 2227-225 (2003)
2EES. Sathiya Keerthi, Chong Jin Ong, Keng Boon Siah, David B. L. Lim, Wei Chu, Min Shi, David S. Edwin, Rakesh Menon, Lixiang Shen, Jonathan Y. K. Lim, Han Tong Loh: A Machine Learning Approach for the Curation of Biomedical Literature - KDD Cup 2002 (Task 1). SIGKDD Explorations 4(2): 93-94 (2002)
1 Wei Chu, S. Sathiya Keerthi, Chong Jin Ong: A Unified Loss Function in Bayesian Framework for Support Vector Regression. ICML 2001: 51-58

Coauthor Index

1B. Champagne [26]
2Benoît Champagne [19] [24]
3Kaibo Duan [4]
4David S. Edwin [2]
5Francesco Falciani [8]
6Zoubin Ghahramani [5] [6] [7] [8] [11] [12] [14] [15] [21]
7Martin Jansche [25]
8S. Sathiya Keerthi [1] [2] [3] [4] [9] [10] [15] [20] [23]
9Roland Krause [14]
10David B. L. Lim [2]
11Jonathan Y. K. Lim [2]
12Jia Liu [13]
13Han Tong Loh [2]
14Rakesh Menon [2]
15Chong Jin Ong [1] [2] [3]
16Seung-Taek Park [27]
17Alexei Podtelezhnikov [12]
18Aun Neow Poo [4]
19Lixiang Shen [2]
20Shirish Krishnaj Shevade [4] [18]
21Min Shi [2]
22Pannagadatta K. Shivaswamy [25]
23Keng Boon Siah [2]
24Ricardo Silva [21]
25Vikas Sindhwani [15] [23]
26Volker Tresp [16]
27David L. Wild [5] [6] [8] [12] [14]
28Xi Xiao [13]
29Zhao Xu [16]
30Kai Yu [16] [22]
31Shipeng Yu [16]

Colors in the list of coauthors

Copyright © Sun May 17 03:24:02 2009 by Michael Ley (ley@uni-trier.de)