Non-Parametric Jensen-Shannon Divergence Hoang-Vu Nguyen and Jilles Vreeken Max-Planck Institute for Informatics and Saarland University, Germany {hnguyen,jilles Abstract. Quantifying the difference betw - Random tree - Document - PDFSEARCH.IO

First Page		Document Content
Date: 2015-06-16 04:34:55 Statistics Probability Mathematical analysis Information theory Statistical theory Statistical distance Probability distributions Stable distributions KullbackLeibler divergence Normal distribution Divergence Entropy		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 Add to Reading List Source URL: eda.mmci.uni-saarland.de Download Document from Source Website File Size: 402,64 KB Share Document on Facebook

	That was fast! Speeding up NN search of high dimensional distributions. Emanuele Coviello University of California, San Diego, 9500 Gilman Dr, La Jolla, CA 92093 DocID: 1rox3 - View Document
	Introduction to Information Theory Uncertainty Entropy Surprisal DocID: 1rj41 - View Document
	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
	Entropy 2013, 15, ; doi:e15083209 OPEN ACCESS entropy ISSNwww.mdpi.com/journal/entropy DocID: 1rhfy - View Document
	Point-Distribution Algorithm for Mining Vector-Item Patterns Anne M. Denton, Jianfei Wu Department of Computer Science North Dakota State University, Fargo, ND Dietmar H. Dorr DocID: 1rbT0 - View Document