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Mixture model
Results: 969

#	Item
661	A Formal Approach to Score Normalization for Meta-search R. Manmatha and H. Sever Center for Intelligent Information Retrieval Computer Science Department University of Massachusetts Amherst, MA 01003 Add to Reading List Source URL: ciir.cs.umass.edu Language: English - Date: 2005-06-06 13:20:40 Text Retrieval Conference Precision and recall Normal distribution Mixture model Search engine indexing Relevance Metasearch engine Information science Information retrieval Science
662	CUDA-level Performance with Python-level Productivity for Gaussian Mixture Model Applications H. Cook, E. Gonina, S. Kamil, G. Friedland† , D. Patterson, and A. Fox Parallel Computing Laboratory, Computer Science Divis Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2011-08-20 00:34:57 GPGPU Procedural programming languages Object-oriented programming Nvidia Video cards CUDA Covariance and contravariance Parallel computing ALGOL 68 Computing Software engineering Computer programming
663	Distance dependent Chinese restaurant processes David M. Blei Department of Computer Science, Princeton University 35 Olden St., Princeton, NJ 08540 Add to Reading List Source URL: www.cs.princeton.edu Language: English - Date: 2010-08-18 22:20:55 Chinese restaurant process Mixture model Gibbs sampling Statistics Stochastic processes Dirichlet process
664	4. Expectation-Maximisation University of Cambridge Engineering Part IIB Module 4F10: Statistical Pattern Processing Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2013-10-22 09:24:19 Bayesian statistics Expectation–maximization algorithm Missing data Statistical models Maximum likelihood Likelihood function Kullback–Leibler divergence Mixture model Dimensional analysis Statistics Estimation theory Statistical theory
665	11. Non-Parameteric Techniques University of Cambridge Engineering Part IIB Paper 4F10: Statistical Pattern Processing Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2013-12-10 08:35:45 Density estimation Normal distribution Histogram Mixture model Estimation theory K-nearest neighbor algorithm Statistics Non-parametric statistics Kernel density estimation
666	Dirichlet Process Mixtures of Generalized Linear Models Lauren A. Hannah Department of Operations Research and Financial Engineering, Princeton University Add to Reading List Source URL: www.cs.princeton.edu Language: English - Date: 2010-08-18 22:20:55 Linear regression Poisson regression Nonparametric regression Dirichlet process Bayesian linear regression Mixture model Degrees of freedom Statistical power Polynomial regression Statistics Regression analysis Generalized linear model
667	Bayesian Analysis[removed], Number 2, pp. 235–272 The Discrete Infinite Logistic Normal Distribution Add to Reading List Source URL: www.cs.princeton.edu Language: English - Date: 2012-06-05 15:28:29 Statistical inference Statistical natural language processing Dirichlet process Latent Dirichlet allocation Dirichlet distribution Mixture model Gamma distribution Probability distribution Bayesian inference Statistics Bayesian statistics Stochastic processes
668	6654 JOURNAL OF CLIMATE VOLUME 23 Add to Reading List Source URL: www.soest.hawaii.edu Language: English - Date: 2013-10-29 16:26:29 Linear regression Poisson regression Probit model Poisson distribution Dummy variable Probit Bayesian linear regression Poisson process Mixture model Statistics Regression analysis Econometrics
669	Engineering Part IIB: Module 4F10 Statistical Pattern Processing 2 University of Cambridge Engineering Part IIB Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2014-03-19 08:01:29 Expectation–maximization algorithm Likelihood function Mixture model Dimensional analysis Generalized method of moments Statistics Estimation theory Maximum likelihood
670	Efficient algorithms for estimating multi-view mixture models Daniel Hsu Microsoft Research, New England Outline Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2014-11-25 10:45:21 Learning Unsupervised learning Mixture model Mixture distribution Machine learning Statistics Artificial intelligence

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