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Date: 2010-07-19 15:12:43 Statistical dependence Statistical theory Covariance and correlation Feature selection Mutual information Redundancy Kullback–Leibler divergence Relevance Jensen–Shannon divergence Statistics Information theory Model selection		Add to Reading List Source URL: www.csc.kth.se Download Document from Source Website File Size: 239,80 KB Share Document on Facebook

	Non-Parametric Jensen-Shannon Divergence Hoang-Vu Nguyen and Jilles Vreeken Max-Planck Institute for Informatics and Saarland University, Germany {hnguyen,jilles}@mpi-inf.mpg.de Abstract. Quantifying the difference betw DocID: 1riud - View Document
	Appears in Proceedings of The 16th European Conference on Machine Learning (ECML), Porto, Portugal, pp, OctoberActive Learning for Probability Estimation using Jensen-Shannon Divergence Prem Melville1 , S DocID: 1loFl - View Document
	Segmentation and Context of Literary and Musical Sequences Damián H. Zanette Consejo Nacional de Investigaciones Científicas y Técnicas, Centro Atómico Bariloche and Instituto Balseiro, DocID: 18O3W - View Document
	Finding Metric Structure in Information Theoretic Clustering Kamalika Chaudhuri University of California, San Diego DocID: 17xCP - View Document
	Manifold Learning and the Quantum Jensen-Shannon Divergence Kernel Luca Rossi1 , Andrea Torsello1 , and Edwin R. Hancock2 1 2 DocID: 16f93 - View Document