Sayan Mukherjee

2007
17	EE	Jonathan L. Jesneck, Sayan Mukherjee, Loren W. Nolte, Anna E. Lokshin, Jeffrey R. Marks, Joseph Lo: Decision Fusion of Circulating Markers for Breast Cancer Detection in Premenopausal Women. BIBE 2007: 1434-1438
2006
16	EE	Elena Edelman, Alessandro Porrello, Justin Guinney, Bala Balakumaran, Andrea Bild, Phillip G. Febbo, Sayan Mukherjee: Analysis of sample set enrichment scores: assaying the enrichment of sets of genes for individual samples in genome-wide expression profiles. ISMB (Supplement of Bioinformatics) 2006: 122-116
15	EE	Sayan Mukherjee, Partha Niyogi, Tomaso Poggio, Ryan M. Rifkin: Learning theory: stability is sufficient for generalization and necessary and sufficient for consistency of empirical risk minimization. Adv. Comput. Math. 25(1-3): 161-193 (2006)
14	EE	Sayan Mukherjee, Qiang Wu: Estimation of Gradients and Coordinate Covariation in Classification. Journal of Machine Learning Research 7: 2481-2514 (2006)
13	EE	Sayan Mukherjee, Ding-Xuan Zhou: Learning Coordinate Covariances via Gradients. Journal of Machine Learning Research 7: 519-549 (2006)
2005
12	EE	Polina Golland, Feng Liang, Sayan Mukherjee, Dmitry Panchenko: Permutation Tests for Classification. COLT 2005: 501-515
2003
11		Sayan Mukherjee, Pablo Tamayo, Simon Rogers, Ryan M. Rifkin, Anna Engle, Colin Campbell, Todd R. Golub, Jill P. Mesirov: Estimating Dataset Size Requirements for Classifying DNA Microarray Data. Journal of Computational Biology 10(2): 119-142 (2003)
2002
10	EE	Neelanjan Mukherjee, Sayan Mukherjee: Predicting Signal Peptides with Support Vector Machines. SVM 2002: 1-7
9		Olivier Chapelle, Vladimir Vapnik, Olivier Bousquet, Sayan Mukherjee: Choosing Multiple Parameters for Support Vector Machines. Machine Learning 46(1-3): 131-159 (2002)
2001
8	EE	Leonid Peshkin, Sayan Mukherjee: Bounds on Sample Size for Policy Evaluation in Markov Environments. COLT/EuroCOLT 2001: 616-630
7	EE	Bernd Heisele, Thomas Serre, Sayan Mukherjee, Tomaso Poggio: Feature Reduction and Hierarchy of Classifiers for Fast Object Detection in Video Images. CVPR (2) 2001: 18-24
6		Chen-Hsiang Yeang, Sridhar Ramaswamy, Pablo Tamayo, Sayan Mukherjee, Ryan M. Rifkin, Michael Angelo, Michael Reich, Eric S. Lander, Jill P. Mesirov, Todd R. Golub: Molecular classification of multiple tumor types. ISMB (Supplement of Bioinformatics) 2001: 316-322
5	EE	Javid Sadr, Sayan Mukherjee, K. Thoresz, Pawan Sinha: The Fidelity of Local Ordinal Encoding. NIPS 2001: 1279-1286
4	EE	Leonid Peshkin, Sayan Mukherjee: Bounds on sample size for policy evaluation in Markov environments CoRR cs.LG/0105027: (2001)
2000
3	EE	Massimiliano Pontil, Sayan Mukherjee, Federico Girosi: On the Noise Model of Support Vector Machines Regression. ALT 2000: 316-324
2		Jason Weston, Sayan Mukherjee, Olivier Chapelle, Massimiliano Pontil, Tomaso Poggio, Vladimir Vapnik: Feature Selection for SVMs. NIPS 2000: 668-674
1999
1	EE	Vladimir Vapnik, Sayan Mukherjee: Support Vector Method for Multivariate Density Estimation. NIPS 1999: 659-665

Coauthor Index

1	Michael Angelo	[6]
2	Bala Balakumaran	[16]
3	Andrea Bild	[16]
4	Olivier Bousquet	[9]
5	Colin Campbell	[11]
6	Olivier Chapelle	[2] [9]
7	Elena Edelman	[16]
8	Anna Engle	[11]
9	Phillip G. Febbo	[16]
10	Federico Girosi	[3]
11	Polina Golland	[12]
12	Todd R. Golub	[6] [11]
13	Justin Guinney	[16]
14	Bernd Heisele	[7]
15	Jonathan L. Jesneck	[17]
16	Eric S. Lander	[6]
17	Feng Liang	[12]
18	Joseph Lo	[17]
19	Anna E. Lokshin	[17]
20	Jeffrey R. Marks	[17]
21	Jill P. Mesirov	[6] [11]
22	Neelanjan Mukherjee	[10]
23	Partha Niyogi	[15]
24	Loren W. Nolte	[17]
25	Dmitry Panchenko	[12]
26	Leonid Peshkin	[4] [8]
27	Tomaso Poggio	[2] [7] [15]
28	Massimiliano Pontil	[2] [3]
29	Alessandro Porrello	[16]
30	Sridhar Ramaswamy	[6]
31	Michael Reich	[6]
32	Ryan M. Rifkin	[6] [11] [15]
33	Simon Rogers	[11]
34	Javid Sadr	[5]
35	Thomas Serre	[7]
36	Pawan Sinha	[5]
37	Pablo Tamayo	[6] [11]
38	K. Thoresz	[5]
39	Vladimir Vapnik	[1] [2] [9]
40	Jason Weston	[2]
41	Qiang Wu	[14]
42	Chen-Hsiang Yeang	[6]
43	Ding-Xuan Zhou	[13]

Colors in the list of coauthors