Year |
Citation |
Score |
2011 |
Slonim N, Yom-Tov E, Crammer K. Active online classification via information maximization Ijcai International Joint Conference On Artificial Intelligence. 1498-1504. DOI: 10.5591/978-1-57735-516-8/IJCAI11-252 |
0.327 |
|
2007 |
Elemento O, Slonim N, Tavazoie S. A universal framework for regulatory element discovery across all genomes and data types. Molecular Cell. 28: 337-50. PMID 17964271 DOI: 10.1016/J.Molcel.2007.09.027 |
0.604 |
|
2007 |
Seldin Y, Slonim N, Tishby N. Information bottleneck for non co-occurrence data Advances in Neural Information Processing Systems. 1241-1248. |
0.599 |
|
2006 |
Slonim N, Friedman N, Tishby N. Multivariate information bottleneck. Neural Computation. 18: 1739-89. PMID 16771652 DOI: 10.1162/Neco.2006.18.8.1739 |
0.613 |
|
2006 |
Slonim N, Elemento O, Tavazoie S. Ab initio genotype-phenotype association reveals intrinsic modularity in genetic networks. Molecular Systems Biology. 2: 2006.0005. PMID 16732191 DOI: 10.1038/Msb4100047 |
0.594 |
|
2005 |
Slonim N, Atwal GS, Tkacik G, Bialek W. Information-based clustering. Proceedings of the National Academy of Sciences of the United States of America. 102: 18297-302. PMID 16352721 DOI: 10.1073/Pnas.0507432102 |
0.351 |
|
2003 |
Slonim N, Bejerano G, Fine S, Tishby N. Discriminative feature selection via multiclass variable memory Markov model Eurasip Journal On Applied Signal Processing. 2003: 93-102. DOI: 10.1155/S111086570321115X |
0.586 |
|
2003 |
Slonim N, Weiss Y. Maximum likelihood and the information bottleneck Advances in Neural Information Processing Systems. |
0.343 |
|
2002 |
Slonim N, Friedman N, Tishby N. Unsupervised document classification using sequential information maximization Sigir Forum (Acm Special Interest Group On Information Retrieval). 129-136. |
0.604 |
|
2002 |
Slonim N, Friedman N, Tishby N. Agglomerative multivariate information bottleneck Advances in Neural Information Processing Systems. |
0.601 |
|
2001 |
Slonim N, Somerville R, Tishby N, Lahav O. Objective classification of galaxy spectra using the information bottleneck method Monthly Notices of the Royal Astronomical Society. 323: 270-284. DOI: 10.1046/J.1365-8711.2001.04125.X |
0.577 |
|
2001 |
Tishby N, Slonim N. Data clustering by Markovian relaxation and the Information Bottleneck Method Advances in Neural Information Processing Systems. |
0.572 |
|
2000 |
Slonim N, Tishby N. Agglomerative information bottleneck Advances in Neural Information Processing Systems. 617-623. |
0.595 |
|
1999 |
Beeri C, Elber G, Milo T, Sagiv Y, Shmueli O, Tishby N, Kogan Y, Konopnicki D, Mogilevski P, Slonim N. Websuite—a tool suite for harnessing web data Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1590: 152-171. |
0.496 |
|
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