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Cross entropy
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#	Item
1	Cross-diffusion systems with entropy structure Ansgar J¨ ungel (TU Vienna) Cross-diffusion systems describe the diffusive interaction of multi-species systems. Examples include multi-species population dynamics, cell bi Add to Reading List Source URL: www.wias-berlin.de Language: English - Date: 2018-04-18 06:39:24
2	Multifidelity preconditioning of the cross-entropy method for rare event simulation and failure probability estimation Add to Reading List Source URL: kiwi.mit.edu - Date: 2018-02-23 00:36:54
3	Motivations PRNG Security Model Java SecureRandom Analysis Add to Reading List Source URL: www-fourier.ujf-grenoble.fr Language: English - Date: 2014-03-31 06:15:11 Computing Software Cryptography Pseudorandom number generators Computing platforms Cross-platform software Random number generation Cryptographic software /dev/random Key generation Entropy Java
4	PDF Document Add to Reading List Source URL: www.work.caltech.edu Language: English - Date: 2015-01-01 11:20:46 Mathematics Statistics Regression analysis Mathematical analysis Estimation theory Computational statistics Linear regression Stochastic gradient descent Cross entropy Gradient descent Derivative Euclidean vector
5	Finding Progression Stages in Time-evolving Event Sequences Jaewon Yang†∗ Julian McAuley† Jure Leskovec† Paea LePendu‡ Nigam Shah‡ † Computer Science, Stanford University, {jayang, jmcauley, jure}@cs.stanfo Add to Reading List Source URL: infolab.stanford.edu Language: English - Date: 2014-03-21 13:55:25 Statistics Estimation theory Sequence Maximum likelihood estimation Cross entropy Logistic regression Expectationmaximization algorithm Regression analysis
6	Learning from Ambiguously Labeled Images Timothee Cour, Benjamin Sapp, Chris Jordan, Ben Taskar University of Pennsylvania 3330, Walnut Street {timothee,bensapp,wjc,taskar}@seas.upenn.edu Add to Reading List Source URL: www.seas.upenn.edu Language: English - Date: 2009-04-22 15:14:38 Statistical classification Machine learning Learning Artificial intelligence Semi-supervised learning Support vector machine Supervised learning K-nearest neighbors algorithm Linear classifier Multi-label classification Cross entropy Hinge loss
7	DOC Document Add to Reading List Source URL: plg.uwaterloo.ca Language: English - Date: 2006-05-15 16:46:34 Statistical theory Entropy Information theory KullbackLeibler divergence Reliability engineering Cross entropy Statistics Maximum likelihood estimation Prediction Maximum entropy thermodynamics Principle of maximum entropy
8	Log-Linear Models Noah A. Smith∗ Department of Computer Science / Center for Language and Speech Processing Johns Hopkins University Add to Reading List Source URL: homes.cs.washington.edu Language: English - Date: 2015-07-30 17:51:19 Estimation theory Information theory Statistical theory Bayesian statistics M-estimators Maximum likelihood estimation Mutual information Principle of maximum entropy Conditional entropy Cross entropy Likelihood function Score
9	Published as a conference paper at ICLRS EQUENCE L EVEL T RAINING WITH R ECURRENT N EURAL N ETWORKS arXiv:1511.06732v5 [cs.LG] 12 Feb 2016 Add to Reading List Source URL: arxiv.org Language: English - Date: 2016-02-14 20:41:00 Computational linguistics Natural language processing Computational neuroscience Computational statistics Recurrent neural network Speech recognition Automatic summarization Artificial neural network Algorithm Structured prediction N-gram Cross entropy
10	Citation Prediction Using Diverse Features Harish S. Bhat, Li-Hsuan Huang, Sebastian Rodriguez Rick Dale, Evan Heit† Applied Mathematics Unit Add to Reading List Source URL: cognaction.org Language: English - Date: 2015-09-24 00:17:08 Model selection Regression analysis Machine learning Academic publishing Information theory Akaike information criterion Entropy Cross-validation Linear regression Boosting Citation impact Support vector machine

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