Discovering Structure in High-Dimensional Data Through Correlation Explanation

4 June 2014

Papers citing "Discovering Structure in High-Dimensional Data Through Correlation Explanation"

9 / 9 papers shown

Title
Maximally Informative Hierarchical Representations of High-Dimensional Data Greg Ver Steeg Aram Galstyan TPM 42 65 0 27 Oct 2014
A Survey on Latent Tree Models and Applications R. Mourad Christine Sinoquet N. Zhang Tengfei Liu Philippe Leray 46 92 0 04 Feb 2014
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 185 14,831 1 21 Dec 2013
Efficient Estimation of Word Representations in Vector Space Tomas Mikolov Kai Chen G. Corrado J. Dean 3DV 552 31,406 0 16 Jan 2013
Multivariate Information Bottleneck N. Friedman Ori Mosenzon Noam Slonim Naftali Tishby 49 220 0 10 Jan 2013
Representation Learning: A Review and New Perspectives Yoshua Bengio Aaron Courville Pascal Vincent OOD SSL 184 12,384 0 24 Jun 2012
Spectral Methods for Learning Multivariate Latent Tree Structure Omer Tamuz Ce Liu Daniel J. Hsu Ohad Shamir Serge J. Belongie Tong Zhang 67 250 0 07 Jul 2011
Learning Latent Tree Graphical Models M. Choi Vincent Y. F. Tan Anima Anandkumar A. Willsky 85 264 0 14 Sep 2010
Learning the Structure of Deep Sparse Graphical Models Ryan P. Adams Hanna M. Wallach Zoubin Ghahramani 184 87 0 31 Dec 2009