dblp.uni-trier.dewww.uni-trier.de

Jason Weston Vis

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

*2009
47EEBing Bai, Jason Weston, Ronan Collobert, David Grangier: Supervised Semantic Indexing. ECIR 2009: 761-765
46EEYoshua Bengio, Jérôme Louradour, Ronan Collobert, Jason Weston: Curriculum learning. ICML 2009: 6
45EEHossein Mobahi, Ronan Collobert, Jason Weston: Deep learning from temporal coherence in video. ICML 2009: 93
44EEIain Melvin, Jason Weston, Christina S. Leslie, William Stafford Noble: RANKPROP: a web server for protein remote homology detection. Bioinformatics 25(1): 121-122 (2009)
2008
43EEFrédéric Ratle, Jason Weston, Matthew L. Miller: Large-Scale Clustering through Functional Embedding. ECML/PKDD (2) 2008: 266-281
42EEJason Weston, Frédéric Ratle, Ronan Collobert: Deep learning via semi-supervised embedding. ICML 2008: 1168-1175
41EERonan Collobert, Jason Weston: A unified architecture for natural language processing: deep neural networks with multitask learning. ICML 2008: 160-167
40EEMichael Karlen, Jason Weston, Ayse Erkan, Ronan Collobert: Large scale manifold transduction. ICML 2008: 448-455
39EEIain Melvin, Jason Weston, Christina S. Leslie, William Stafford Noble: Combining classifiers for improved classification of proteins from sequence or structure. BMC Bioinformatics 9: (2008)
2007
38EERonan Collobert, Jason Weston: Fast Semantic Extraction Using a Novel Neural Network Architecture. ACL 2007
37EEAntoine Bordes, Léon Bottou, Patrick Gallinari, Jason Weston: Solving multiclass support vector machines with LaRank. ICML 2007: 89-96
36EEIain Melvin, Eugene Ie, Rui Kuang, Jason Weston, William Stafford Noble, Christina S. Leslie: SVM-Fold: a tool for discriminative multi-class protein fold and superfamily recognition. BMC Bioinformatics 8(S-4): (2007)
2006
35EEJason Weston, Ronan Collobert, Fabian H. Sinz, Léon Bottou, Vladimir Vapnik: Inference with the Universum. ICML 2006: 1009-1016
34EERonan Collobert, Fabian H. Sinz, Jason Weston, Léon Bottou: Trading convexity for scalability. ICML 2006: 201-208
33EEJason Weston, Rui Kuang, Christina S. Leslie, William Stafford Noble: Protein Ranking by Semi-Supervised Network Propagation. BMC Bioinformatics 7(S-1): (2006)
32EERonan Collobert, Fabian H. Sinz, Jason Weston, Léon Bottou: Large Scale Transductive SVMs. Journal of Machine Learning Research 7: 1687-1712 (2006)
2005
31EECorinna Cortes, Mehryar Mohri, Jason Weston: A general regression technique for learning transductions. ICML 2005: 153-160
30EEEugene Ie, Jason Weston, William Stafford Noble, Christina S. Leslie: Multi-class protein fold recognition using adaptive codes. ICML 2005: 329-336
29EEJason Weston, Bernhard Schölkopf, Olivier Bousquet: Joint Kernel Maps. IWANN 2005: 176-191
28EEJason Weston, Christina S. Leslie, Eugene Ie, Dengyong Zhou, André Elisseeff, William Stafford Noble: Semi-supervised protein classification using cluster kernels. Bioinformatics 21(15): 3241-3247 (2005)
27EERui Kuang, Jason Weston, William Stafford Noble, Christina S. Leslie: Motif-based protein ranking by network propagation. Bioinformatics 21(19): 3711-3718 (2005)
26EEAntoine Bordes, Seyda Ertekin, Jason Weston, Léon Bottou: Fast Kernel Classifiers with Online and Active Learning. Journal of Machine Learning Research 6: 1579-1619 (2005)
2004
25EEGökhan H. Bakir, Léon Bottou, Jason Weston: Breaking SVM Complexity with Cross-Training. NIPS 2004
24EEChristina S. Leslie, Eleazar Eskin, Adiel Cohen, Jason Weston, William Stafford Noble: Mismatch string kernels for discriminative protein classification. Bioinformatics 20(4): (2004)
2003
23EEGökhan H. Bakir, Jason Weston, Bernhard Schölkopf: Learning to Find Pre-Images. NIPS 2003
22EEDengyong Zhou, Olivier Bousquet, Thomas Navin Lal, Jason Weston, Bernhard Schölkopf: Learning with Local and Global Consistency. NIPS 2003
21EEJan Eichhorn, Andreas S. Tolias, Alexander Zien, Malte Kuss, Carl Edward Rasmussen, Jason Weston, Nikos Logothetis, Bernhard Schölkopf: Prediction on Spike Data Using Kernel Algorithms. NIPS 2003
20EEDengyong Zhou, Jason Weston, Arthur Gretton, Olivier Bousquet, Bernhard Schölkopf: Ranking on Data Manifolds. NIPS 2003
19EEJason Weston, Christina S. Leslie, Dengyong Zhou, André Elisseeff, William Stafford Noble: Semi-supervised Protein Classification Using Cluster Kernels. NIPS 2003
18 Jason Weston, Fernando Pérez-Cruz, Olivier Bousquet, Olivier Chapelle, André Elisseeff, Bernhard Schölkopf: Feature selection and transduction for prediction of molecular bioactivity for drug design. Bioinformatics 19(6): 764-771 (2003)
17EESebastian Mika, Gunnar Rätsch, Jason Weston, Bernhard Schölkopf, Alex J. Smola, Klaus-Robert Müller: Constructing Descriptive and Discriminative Nonlinear Features: Rayleigh Coefficients in Kernel Feature Spaces. IEEE Trans. Pattern Anal. Mach. Intell. 25(5): 623-633 (2003)
16EEJason Weston, André Elisseeff, Bernhard Schölkopf, Michael E. Tipping: Use of the Zero-Norm with Linear Models and Kernel Methods. Journal of Machine Learning Research 3: 1439-1461 (2003)
2002
15EEBernhard Schölkopf, Jason Weston, Eleazar Eskin, Christina S. Leslie, William Stafford Noble: A Kernel Approach for Learning from almost Orthogonal Patterns. ECML 2002: 511-528
14EEChristina S. Leslie, Eleazar Eskin, Jason Weston, William Stafford Noble: Mismatch String Kernels for SVM Protein Classification. NIPS 2002: 1417-1424
13EEOlivier Chapelle, Jason Weston, Bernhard Schölkopf: Cluster Kernels for Semi-Supervised Learning. NIPS 2002: 585-592
12EEJason Weston, Olivier Chapelle, André Elisseeff, Bernhard Schölkopf, Vladimir Vapnik: Kernel Dependency Estimation. NIPS 2002: 873-880
11EEBernhard Schölkopf, Jason Weston, Eleazar Eskin, Christina S. Leslie, William Stafford Noble: A Kernel Approach for Learning from Almost Orthogonal Patterns. PKDD 2002: 494-511
10 Paul Pavlidis, Jason Weston, Jinsong Cai, William Stafford Noble: Learning Gene Functional Classifications from Multiple Data Types. Journal of Computational Biology 9(2): 401-411 (2002)
9 Isabelle Guyon, Jason Weston, Stephen Barnhill, Vladimir Vapnik: Gene Selection for Cancer Classification using Support Vector Machines. Machine Learning 46(1-3): 389-422 (2002)
2001
8EEAndré Elisseeff, Jason Weston: A kernel method for multi-labelled classification. NIPS 2001: 681-687
7EEPaul Pavlidis, Jason Weston, Jinsong Cai, William Noble Grundy: Gene functional classification from heterogeneous data. RECOMB 2001: 249-255
2000
6 Olivier Chapelle, Jason Weston, Léon Bottou, Vladimir Vapnik: Vicinal Risk Minimization. NIPS 2000: 416-422
5 Jason Weston, Sayan Mukherjee, Olivier Chapelle, Massimiliano Pontil, Tomaso Poggio, Vladimir Vapnik: Feature Selection for SVMs. NIPS 2000: 668-674
1999
4EEJason Weston, Chris Watkins: Support vector machines for multi-class pattern recognition. ESANN 1999: 219-224
3 Jason Weston: Leave-One-Out Support Vector Machines. IJCAI 1999: 727-733
2EEOlivier Chapelle, Vladimir Vapnik, Jason Weston: Transductive Inference for Estimating Values of Functions. NIPS 1999: 421-427
1EESebastian Mika, Gunnar Rätsch, Jason Weston, Bernhard Schölkopf, Alex J. Smola, Klaus-Robert Müller: Invariant Feature Extraction and Classification in Kernel Spaces. NIPS 1999: 526-532

Coauthor Index

1Bing Bai [47]
2Gökhan H. Bakir [23] [25]
3Stephen Barnhill [9]
4Yoshua Bengio [46]
5Antoine Bordes [26] [37]
6Léon Bottou [6] [25] [26] [32] [34] [35] [37]
7Olivier Bousquet [18] [20] [22] [29]
8Jinsong Cai [7] [10]
9Olivier Chapelle [2] [5] [6] [12] [13] [18]
10Adiel Cohen [24]
11Ronan Collobert [32] [34] [35] [38] [40] [41] [42] [45] [46] [47]
12Corinna Cortes [31]
13Jan Eichhorn [21]
14André Elisseeff [8] [12] [16] [18] [19] [28]
15Ayse Erkan [40]
16Seyda Ertekin [26]
17Eleazar Eskin [11] [14] [15] [24]
18Patrick Gallinari [37]
19David Grangier [47]
20Arthur Gretton [20]
21William Noble Grundy [7]
22Isabelle Guyon [9]
23Eugene Ie [28] [30] [36]
24Michael Karlen [40]
25Rui Kuang [27] [33] [36]
26Malte Kuss [21]
27Thomas Navin Lal [22]
28Christina S. Leslie [11] [14] [15] [19] [24] [27] [28] [30] [33] [36] [39] [44]
29Nikos Logothetis [21]
30Jérôme Louradour [46]
31Iain Melvin [36] [39] [44]
32Sebastian Mika [1] [17]
33Matthew L. Miller [43]
34Hossein Mobahi [45]
35Mehryar Mohri [31]
36Sayan Mukherjee [5]
37Klaus-Robert Müller [1] [17]
38William Stafford Noble [10] [11] [14] [15] [19] [24] [27] [28] [30] [33] [36] [39] [44]
39Paul Pavlidis [7] [10]
40Fernando Pérez-Cruz [18]
41Tomaso Poggio [5]
42Massimiliano Pontil [5]
43Carl Edward Rasmussen [21]
44Frédéric Ratle [42] [43]
45Gunnar Rätsch [1] [17]
46Bernhard Schölkopf [1] [11] [12] [13] [15] [16] [17] [18] [20] [21] [22] [23] [29]
47Fabian H. Sinz [32] [34] [35]
48Alexander J. Smola (Alex J. Smola) [1] [17]
49Michael E. Tipping [16]
50Andreas S. Tolias [21]
51Vladimir Vapnik [2] [5] [6] [9] [12] [35]
52Chris Watkins [4]
53Dengyong Zhou [19] [20] [22] [28]
54Alexander Zien [21]

Colors in the list of coauthors

Copyright © Tue Nov 3 08:52:44 2009 by Michael Ley (ley@uni-trier.de)