Tishby N, Pereira F, Bialek W. The Information Bottleneck Method // Proc of the 37th Annual Allerton Conference on Communication, Control and Computing. Illinois, USA, 1999: 368-377
[2]
Slonim N, Friedman N, Tishby N. Unsupervised Document Classification Using Sequential Information Maximization // Proc of the 25th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. Tampere, Finland, 2002: 129-136
[3]
Goldberger J, Gordon S, Greenspan H. Unsupervised Image-Set Clustering Using an Information Theoretic Framework. IEEE Trans on Image Processing, 2006, 15(2): 449-458
[4]
Slonim N, Somerville R, Tishby N, et al. Objective Classification of Galaxy Spectra Using the Information Bottleneck Method. Monthly Notices of the Royal Astronomical Society, 2001, 323(2): 270-284
[5]
Tishby N, Slonim N. Data Clustering by Markovian Relaxation and the Information Bottleneck Method // Proc of the 13th Annual Conference on Neural Information Processing Systems. Colorado, USA, 2001: 640-646
[6]
Schneidman E, Bialek W, Berry M J. An Information Theoretic Approach to the Functional Classification of Neurons // Proc of the 15th Annual Conference on Neural Information Processing Systems. Vancouver, Canada, 2002: 197-204
[7]
Gorodetsky M. Methods for Discovering Semantic Relations between Words Based on Co-Occurrence Patterns in Corpora. Masters Dissertation. Jerusalem, Palestine: Hebrew University. School of Computer Science and Engineering, 2002
[8]
Slonim N. The Information Bottleneck: Theory and Application. Ph.D Dissertation. Jerusalem, Palestine: Hebrew University. School of Computer Science and Engineering, 2002
[9]
Chechik G, Tishby N. Extracting Relevant Structures with Side Information // Proc of the 16th Annual Conference on Neural Information Processing Systems. Vancouver, Canada, 2002: 857-864
[10]
Gondek D, Hofmann T. Non-Redundant Data Clustering // Proc of the 4th IEEE International Conference on Data Mining. Brighton, UK, 2004: 75-82
[11]
Elidan G, Friedman N. Learning Hidden Variable Networks: The Information Bottleneck Approach. Journal of Machine Learning Research, 2005, 6(1): 81-127
[12]
Chechik G, Globerson A, Tishby N, et al. Information Bottleneck for Gaussian Variables. Journal of Machine Learning Research, 2005, 6(1): 165-188
