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Kullback–Leibler divergence
Results: 486

#	Item
191	Heavy-tailed Distances for Gradient Based Image Descriptors Yangqing Jia and Trevor Darrell UC Berkeley EECS and ICSI {jiayq,trevor}@eecs.berkeley.edu Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2013-10-18 17:47:37 Estimation theory Normal distribution Histogram of oriented gradients Kullback–Leibler divergence Maximum likelihood Laplace distribution Variance One-shot learning Statistics Statistical theory Computer vision
192	Log-Linear Models Noah A. Smith∗ Department of Computer Science / Center for Language and Speech Processing Johns Hopkins University [removed] Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2006-11-30 01:37:48 Estimation theory Bayesian statistics M-estimators Maximum likelihood Mutual information Principle of maximum entropy Conditional entropy Entropy Kullback–Leibler divergence Statistics Information theory Statistical theory
193	Norm-induced entropies for decision forests Christoph Lassner Rainer Lienhart Multimedia Computing and Computer Vision Lab, University of Augsburg [removed] Add to Reading List Source URL: www.multimedia-computing.de Language: English - Date: 2014-11-14 11:06:55 Probability and statistics Thermodynamics Statistical theory Statistical mechanics Philosophy of thermal and statistical physics Entropy Tsallis entropy Q-exponential distribution Kullback–Leibler divergence Information theory Thermodynamic entropy Statistics
194	Nonasymptotic noisy lossy source coding Victoria Kostina, Sergio Verd´u Dept. of Electrical Engineering, Princeton University, NJ 08544, USA Abstract—This paper shows new general nonasymptotic achievability and conver Add to Reading List Source URL: www.princeton.edu Language: English - Date: 2013-12-03 13:59:41 Mathematics Communication Data compression Rate–distortion theory Noisy-channel coding theorem Data Sturm–Liouville theory Kullback–Leibler divergence Information theory Information Coding theory
195	Universal Estimation of Divergence for Continuous Distributions via Data-Dependent Partitions Qing Wang, Sanjeev R. Kulkarni, Sergio Verd´u Department of Electrical Engineering Princeton University Princeton, NJ[removed]U Add to Reading List Source URL: www.princeton.edu Language: English - Date: 2005-12-05 13:40:41 M-estimators Kullback–Leibler divergence Thermodynamics Information theory Importance sampling Jensen–Shannon divergence Statistics Estimation theory Statistical theory
196	Best Arm Identification in Multi-Armed Bandits Jean-Yves Audibert Imagine, Universit´e Paris Est & Willow, CNRS/ENS/INRIA, Paris, France Add to Reading List Source URL: www.princeton.edu Language: English - Date: 2011-06-28 04:16:37 Combinatorics Integer sequences Factorial Number theory Kullback–Leibler divergence Estimation theory Gamma distribution Binomial coefficient Mathematics Statistics Mathematical analysis
197	CHAPTER 6 Shannon entropy This chapter is a digression in information theory. This is a fascinating subject, which arose once the notion of information got precise and quantifyable. From a physical point of view, inform Add to Reading List Source URL: www.ueltschi.org Language: English - Date: 2006-11-29 16:35:20 Information Coding theory Statistical theory Randomness Philosophy of thermal and statistical physics Entropy Kullback–Leibler divergence Noisy-channel coding theorem Quantities of information Information theory Statistics Mathematics
198	Proceedings of ACL ’93, pp[removed]DISTRIBUTIONAL CLUSTERING OF ENGLISH WORDS Fernando Pereira AT&T Bell Laboratories Add to Reading List Source URL: www.cs.cornell.edu Language: English - Date: 2002-08-29 18:38:04 Information theory Hierarchical clustering Kullback–Leibler divergence Entropy Maximum likelihood Cross entropy Expectation–maximization algorithm Cluster analysis Determining the number of clusters in a data set Statistics Statistical theory Principle of maximum entropy
199	A new converse in rate-distortion theory Victoria Kostina, Sergio Verd´u Dept. of Electrical Engineering, Princeton University, NJ, 08544, USA Abstract—This paper shows new finite-blocklength converse bounds applicabl Add to Reading List Source URL: www.princeton.edu Language: English - Date: 2012-06-04 16:38:19 Data compression Rate–distortion theory Data Kullback–Leibler divergence Information theory Information Communication
200	An Information-Theoretic Approach to Traffic Matrix Estimation Yin Zhang Matthew Roughan Carsten Lund David Donoho Add to Reading List Source URL: conferences.sigcomm.org Language: English - Date: 2003-07-24 11:26:26 Internet protocols Internet standards Routing protocols Matrix Inverse problem Routing Kullback–Leibler divergence Normal distribution Regularization Internet Statistics Network architecture

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