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Divergence
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#	Item
411	Semi-Supervised Conditional Random Fields for Improved Sequence Segmentation and Labeling Feng Jiao University of Waterloo Abstract We present a new semi-supervised training Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2006-12-28 15:24:48 Statistical theory Estimation theory Conditional random field Theoretical computer science Supervised learning Kullback–Leibler divergence Semi-supervised learning Expectation–maximization algorithm Conditional entropy Statistics Machine learning Information theory
412	When are probabilistic programs probably computationally tractable? Cameron E. Freer Univ. of Hawai‘i at M¯anoa Add to Reading List Source URL: web.mit.edu Language: English - Date: 2011-01-31 01:40:47 Monte Carlo methods Computational statistics Statistical models Markov chain Monte Carlo Bayesian inference Gibbs sampling Normal distribution Posterior probability Kullback–Leibler divergence Statistics Bayesian statistics Statistical theory
413	Microsoft Word - V0987777.doc Add to Reading List Source URL: www.unoosa.org Language: English - Date: 2010-03-18 09:41:26 Kullback–Leibler divergence Statistical theory Thermodynamics Classical cipher Computer programming Software engineering Computing
414	Supertree Algorithms for Ancestral Divergence Dates and Nested Taxa Charles Semple1 , Philip Daniel1 , Wim Hordijk1 , Roderic D. M. Page2, and Mike Steel1 1 2 Add to Reading List Source URL: taxonomy.zoology.gla.ac.uk Language: English - Date: 2007-07-24 12:40:58 Science Botany Supertree Phylogenetic tree Tree Lineage Binary trees Phylogenetics Computational phylogenetics Biology
415	APRIL 2015 \| SWISS-THAI CHAMBER OF COMMERCE \| E-NEWSLETTER #57 TOP NEWS Deutsche Bank: External and internal divergence DFDL: Regulating Thailand’s Environment Interview: Add to Reading List Source URL: swissthai.com Language: English - Date: 2015-04-07 04:15:06 Thailand Waste Management Inc Asia Bangkok Gulf of Thailand
416	Group Affiliation Detection Using Model Divergence for Wearable Devices Add to Reading List Source URL: www.teco.kit.edu Language: English - Date: 2014-06-30 09:18:25 Science Peer-to-peer Wireless sensor network Computing Scalability Distributed computing Mobile ad hoc network Activity recognition Social peer-to-peer processes Wireless networking Technology File sharing networks
417	Fractal vector measures and vector calculus on planar fractal domains F. Mendivil Department of Mathematics and Statistics Acadia University Wolfville, Nova Scotia, Canada B0P 1X0 Add to Reading List Source URL: links.uwaterloo.ca Language: English - Date: 2007-07-18 16:52:24 Fractals Measure theory Differential topology Vector field Chaos game Line integral Integral Divergence Fractal compression Mathematical analysis Mathematics Vector calculus
418	JMLR: Workshop and Conference Proceedings 29:1–16, 2013 ACML 2013 Learning a Metric Space for Neighbourhood Topology Estimation: Application to Manifold Learning Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2013-11-09 20:30:18 Dimension reduction Differential topology Computational statistics Nonlinear dimensionality reduction Normal distribution Manifold Differentiable manifold Principal component analysis Divergence Statistics Multivariate statistics Data analysis
419	Convex Relaxations of Bregman Divergence Clustering Hao Cheng Department of Computing Science Xinhua Zhang Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2013-07-27 14:43:51 Mathematical optimization Kullback–Leibler divergence Bregman divergence Statistics Convex analysis Convex optimization
420	Machine Learning, 48, 51–84, 2002 c 2002 Kluwer Academic Publishers. Manufactured in The Netherlands. Metric-Based Methods for Adaptive Model Selection and Regularization Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2005-06-24 16:48:47 Kullback–Leibler divergence Regression analysis Regularization Metric space Cross-validation Statistical hypothesis testing Normalizing constant Statistics Machine learning Supervised learning

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