Kullback–Leibler divergence

Results: 486



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101Statistical dependence / Assay / Biochemistry / Titration / Cell growth / Approximate Bayesian computation / Kullback–Leibler divergence / T cell / Correlation and dependence / Statistics / Biology / Chemistry

Downloaded from on September 10, 2014 Interpreting scratch assays using pair density dynamics and approximate Bayesian computation Stuart T. Johnston, Matthew J. Simpson, D. L. Sean McElwain, Benjamin J. Binder and Josh

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Source URL: www.maths.adelaide.edu.au

Language: English - Date: 2014-09-10 19:17:22
102Natural language processing / Statistics / Information theory / Kullback–Leibler divergence / Thermodynamics / Entropy / N-gram / Language identification / Cross entropy / Science / Statistical theory / Computational linguistics

Language Identification System Kenni Bawden, Sasha Bermeister, Salvatore D’urso, Joseph Glanville, Callan McNamara, Tianyu Pu, Alexander Sharp, Joseph Wang, Andrian Yang, Joanne Yang, Donald Zhang Ghoti, University of

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Source URL: comp.mq.edu.au

Language: English - Date: 2014-08-13 00:42:05
103Statistics / Entropy / Mutual information / Channel capacity / Kullback–Leibler divergence / Quantities of information / Information theory / Information / Telecommunications engineering

RATIONAL INATTENTION AND MONETARY ECONOMICS RATIONAL INATTENTION AND MONETARY ECONOMICS CHRISTOPHER A. SIMS 1. M OTIVATION

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Source URL: sims.princeton.edu

Language: English - Date: 2015-01-17 22:57:34
104Maximum likelihood / Likelihood function / Boltzmann machine / Score / Kullback–Leibler divergence / Estimation theory / Statistics / Statistical theory

Under review as a conference paper at ICLRU NDERSTANDING M INIMUM P ROBABILITY F LOW U NDER VARIOUS K INDS OF DYNAMICS FOR

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Source URL: www.uoguelph.ca

Language: English - Date: 2014-12-30 23:07:00
105Statistical theory / Mathematics / Network theory / Networks / Maximum likelihood / Bayesian network / Kullback–Leibler divergence / Complex network / Logarithm / Statistics / Estimation theory / Bayesian statistics

Outline Uncovering (global) structure and (local) motifs in networks 1 - Looking for structure in networks

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Source URL: www.cs.tut.fi

Language: English - Date: 2008-07-01 04:57:33
106Clifford algebra / Ring theory / Statistics / Kullback–Leibler divergence / Mathematics / Primality tests / Number theory

LARGE GAPS BETWEEN PRIMES JAMES MAYNARD arXiv:1408.5110v1 [math.NT] 21 AugAbstract. We show that there exists pairs of consecutive primes less than x whose difference

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Source URL: arxiv.org

Language: English - Date: 2014-08-21 20:18:22
107Bayesian statistics / Statistical classification / Maximum likelihood / Naive Bayes classifier / Likelihood function / Likelihood-ratio test / Kullback–Leibler divergence / Fisher information / Statistics / Statistical theory / Estimation theory

A Course in Machine Learning Hal Daumé III 7 | P ROBABILISTIC M ODELING

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Source URL: ciml.info

Language: English - Date: 2014-09-24 16:08:29
108Normal distribution / Route distinguisher / Kolmogorov–Smirnov test / Kullback–Leibler divergence / Advantage / Cumulative distribution function / Uniform distribution / Statistical hypothesis testing / T-statistic / Statistics / Statistical theory / Statistical tests

Generic Side-channel Distinguisher Based on Kolmogorov-Smirnov Test: Explicit Construction and Practical Evaluation * ♀ LIU Ji-ye1,2, ZHOU Yong-bin1, , YANG Shu-guo1,2, FENG Deng-guo1 (1. State Key Laboratory of Inform

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Source URL: eprint.iacr.org

Language: English - Date: 2011-12-21 01:01:55
109Probability and statistics / Mathematical analysis / Randomness / Entropy / Kullback–Leibler divergence / Measure theory / Mutual information / Differential entropy / Information theory / Statistics / Statistical theory

How to Fake Auxiliary Input Dimitar Jetchev and Krzysztof Pietrzak⋆ EPFL Switzerland and IST Austria Abstract. Consider a joint distribution (X, A) on a set X × {0, 1}ℓ . We show that for any family F of distinguish

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Source URL: eprint.iacr.org

Language: English - Date: 2013-12-26 04:47:12
110Information theory / Mutual information / Principle of maximum entropy / Entropy / Kullback–Leibler divergence / Database / Mode / Statistics / Statistical theory / Probability and statistics

Taming the Devil: Techniques for Evaluating Anonymized Network Data S. E. Coull∗ ∗ C. V. Wright∗

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Source URL: www.cs.jhu.edu

Language: English - Date: 2008-03-12 11:44:29
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