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Publications of Author

1. Wei Chu, Zoubin Ghahramani, David L. Wild
   Protein secondary structure prediction using sigmoid belief networks to parameterize segmental semi-Markov models. [Citation Graph (0, 0)][DBLP]
   ESANN, 2004, pp:81-86 [Conf]
   
2. Shirish Krishnaj Shevade, Wei Chu
   Minimum Enclosing Spheres Formulations for Support Vector Ordinal Regression. [Citation Graph (0, 0)][DBLP]
   ICDM, 2006, pp:1054-1058 [Conf]
   
3. Wei Chu, Zoubin Ghahramani
   Preference learning with Gaussian processes. [Citation Graph (0, 0)][DBLP]
   ICML, 2005, pp:137-144 [Conf]
   
4. Wei Chu, Zoubin Ghahramani, David L. Wild
   A graphical model for protein secondary structure prediction. [Citation Graph (0, 0)][DBLP]
   ICML, 2004, pp:- [Conf]
   
5. Wei Chu, S. Sathiya Keerthi
   New approaches to support vector ordinal regression. [Citation Graph (0, 0)][DBLP]
   ICML, 2005, pp:145-152 [Conf]
   
6. Wei Chu, S. Sathiya Keerthi, Chong Jin Ong
   A Unified Loss Function in Bayesian Framework for Support Vector Regression. [Citation Graph (0, 0)][DBLP]
   ICML, 2001, pp:51-58 [Conf]
   
7. Vikas Sindhwani, Wei Chu, S. Sathiya Keerthi
   Semi-Supervised Gaussian Process Classifiers. [Citation Graph (0, 0)][DBLP]
   IJCAI, 2007, pp:1059-1064 [Conf]
   
8. Kaibo Duan, S. Sathiya Keerthi, Wei Chu, Shirish Krishnaj Shevade, Aun Neow Poo
   Multi-category Classification by Soft-Max Combination of Binary Classifiers. [Citation Graph (0, 0)][DBLP]
   Multiple Classifier Systems, 2003, pp:125-134 [Conf]
   
9. S. Sathiya Keerthi, Wei Chu
   A matching pursuit approach to sparse Gaussian process regression. [Citation Graph (0, 0)][DBLP]
   NIPS, 2005, pp:- [Conf]
   
10. Wei Chu, Zoubin Ghahramani, Roland Krause, David L. Wild
    Identifying Protein Complexes in High-Throughput Protein Interaction Screens Using an Infinite Latent Feature Model. [Citation Graph (0, 0)][DBLP]
    Pacific Symposium on Biocomputing, 2006, pp:231-242 [Conf]
    
11. Wei Chu, Xi Xiao, Jia Liu
    Confidence Score Based Unsupervised Incremental Adaptation for OOV Words Detection. [Citation Graph (0, 0)][DBLP]
    SSPR/SPR, 2006, pp:723-731 [Conf]
    
12. Wei Chu, Zoubin Ghahramani, Francesco Falciani, David L. Wild
    Biomarker discovery in microarray gene expression data with Gaussian processes. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2005, v:21, n:16, pp:3385-3393 [Journal]
    
13. Wei Chu, Zoubin Ghahramani
    Gaussian Processes for Ordinal Regression. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2005, v:6, n:, pp:1019-1041 [Journal]
    
14. Wei Chu, S. Sathiya Keerthi, Chong Jin Ong
    Bayesian Trigonometric Support Vector Classifier. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2003, v:15, n:9, pp:2227-225 [Journal]
    
15. Wei Chu, S. Sathiya Keerthi
    Support Vector Ordinal Regression. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2007, v:19, n:3, pp:792-815 [Journal]
    
16. S. 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). [Citation Graph (0, 0)][DBLP]
    SIGKDD Explorations, 2002, v:4, n:2, pp:93-94 [Journal]
    
17. Wei Chu, Zoubin Ghahramani, Alexei Podtelezhnikov, David L. Wild
    Bayesian Segmental Models with Multiple Sequence Alignment Profiles for Protein Secondary Structure and Contact Map Prediction. [Citation Graph (0, 0)][DBLP]
    IEEE/ACM Trans. Comput. Biology Bioinform., 2006, v:3, n:2, pp:98-113 [Journal]
    
18. Wei Chu, Vikas Sindhwani, Zoubin Ghahramani, S. Sathiya Keerthi
    Relational Learning with Gaussian Processes. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:289-296 [Conf]
    
19. Kai Yu, Wei Chu, Shipeng Yu, Volker Tresp, Zhao Xu
    Stochastic Relational Models for Discriminative Link Prediction. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1553-1560 [Conf]
    
20. Wei Chu, Benoît Champagne
    A Simplified Early Auditory Model with Application in Speech/Music Classification. [Citation Graph (0, 0)][DBLP]
    CCECE, 2006, pp:775-778 [Conf]
    
21. 
    A Support Vector Approach to Censored Targets. [Citation Graph (, )][DBLP]
    
    
22. 
    An Improved Implementation for an Auditory-Inspired FFT Model with Application in Audio Classification. [Citation Graph (, )][DBLP]
    
    
23. 
    Model Selection: An Empirical Study on Two Kernel Classifiers. [Citation Graph (, )][DBLP]
    
    
24. 
    A case study of behavior-driven conjoint analysis on Yahoo!: front page today module. [Citation Graph (, )][DBLP]
    
    
25. 
    Gaussian Process Models for Link Analysis and Transfer Learning. [Citation Graph (, )][DBLP]
    
    
26. 
    Hidden Common Cause Relations in Relational Learning. [Citation Graph (, )][DBLP]
    
    
27. 
    Personalized recommendation on dynamic content using predictive bilinear models. [Citation Graph (, )][DBLP]
    
    
28. 
    A contextual-bandit approach to personalized news article recommendation. [Citation Graph (, )][DBLP]
    
    
29. 
    Pairwise preference regression for cold-start recommendation. [Citation Graph (, )][DBLP]
    
    
30. 
    Reducing F0 Frame Error of F0 tracking algorithms under noisy conditions with an unvoiced/voiced classification frontend. [Citation Graph (, )][DBLP]
    
    
31. 
    Learning to Blend by Relevance [Citation Graph (, )][DBLP]
    
    
32. 
    A Contextual-Bandit Approach to Personalized News Article Recommendation [Citation Graph (, )][DBLP]
    
    
33. 
    An Unbiased, Data-Driven, Offline Evaluation Method of Contextual Bandit Algorithms [Citation Graph (, )][DBLP]