Statistical learning theory - PDFSEARCH.IO - Document Search Engine

Statistical learning theory
Results: 800

#	Item
271	Probabilistic machine learning Zoubin Ghahramani Department of Engineering University of Cambridge, UK http://learning.eng.cam.ac.uk/zoubin/ Add to Reading List Source URL: www.snn.ru.nl Language: English - Date: 2015-04-02 04:27:53 Formal sciences Knowledge Cybernetics Computational neuroscience Networks Pattern recognition Neural network Computational learning theory Statistical classification Statistics Machine learning Science
272	About the Usefulness and Learnability of Argument-Diagrams from Real Discussions Rutger Rienks and Daan Verbree Human Media Interaction (HMI) University of Twente, Enschede, The Netherlands {Rienks, Verbree}@ewi.utwente. Add to Reading List Source URL: www.amiproject.org Language: English - Date: 2009-01-21 05:42:44 Machine learning Science Speech recognition Automatic summarization Data mining Classifier Statistical classification N-gram Model theory Computational linguistics Natural language processing Linguistics
273	Probabilistic n-Choose-k Models for Classification and Ranking Kevin Swersky Daniel Tarlow Dept. of Computer Science Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2012-11-13 03:36:57 Bayesian statistics Econometrics Regression analysis Maximum likelihood Logistic regression Supervised learning Order statistic Akaike information criterion Statistical model Statistics Statistical theory Estimation theory
274	Just-In-Time Learning for Fast and Flexible Inference S. M. Ali Eslami, Daniel Tarlow, Pushmeet Kohli and John Winn Microsoft Research {alie,dtarlow,pkohli,jwinn}@microsoft.com Add to Reading List Source URL: arkitus.com Language: English - Date: 2014-10-29 14:57:41 Bayesian statistics Econometrics Statistical theory Polynomial regression Belief propagation Logistic regression Random forest Gaussian process Bayesian inference Statistics Regression analysis Statistical inference
275	A fast and simple algorithm for training neural probabilistic language models Andriy Mnih Gatsby Computational Neuroscience Unit, University College London Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2012-05-21 13:59:03 Artificial intelligence Computational neuroscience Machine learning Statistical natural language processing Estimation theory N-gram Language model Speech recognition Perplexity Science Computational linguistics Statistics
276	Structured Output Learning with High Order Loss Functions Daniel Tarlow Department of Computer Science University of Toronto Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2012-02-04 17:48:30 Decision theory Econometrics Loss function Statistical theory Support vector machine Segmentation Supervised learning Conditional random field Statistics Machine learning Statistical classification
277	Conditional Random Fields: An Introduction∗ Hanna M. Wallach February 24, 2004 1 Add to Reading List Source URL: www.inference.phy.cam.ac.uk Language: English - Date: 2004-09-21 19:00:07 Probability theory Statistical theory Graphical models Bayesian statistics Machine learning Conditional random field Hidden Markov model Markov random field Information theory Statistics Probability and statistics Probability
278	Model-based clustering of time-course RNA-seq data Man-Kee Maggie Chu and Wenqing He Department of Statistical and Actuarial Sciences, The University of Western Ontario, London, ON, CANADA Corresponding author: Man-Kee M Add to Reading List Source URL: www.statistics.gov.hk Language: English - Date: 2013-08-22 04:39:12 Machine learning Cluster analysis Estimation theory RNA Expectation–maximization algorithm Mixture model Hierarchical clustering Bioinformatics Gene expression profiling Statistics Biology Gene expression
279	Still searching for principles: a response to Goodman et al. We appreciate Goodman et al’s efforts to address concerns raised in Marcus and Davis (2013), but we remain unconvinced. Multiple models To refresh the reade Add to Reading List Source URL: www.cs.nyu.edu Language: English - Date: 2015-04-21 10:34:40 Bayesian statistics Philosophy of science Concept learning Learning theory Machine learning Bayesian inference Statistical inference Bayesian probability Tannenbaum Statistics Science Statistical theory
280	Microsoft Word - Q.Liu, D.Pitt,Y.Wang,X.Wu..docx Add to Reading List Source URL: fbe.unimelb.edu.au Language: English - Date: 2013-08-05 02:17:34 Survival analysis Machine learning Regression analysis Truncation Weibull distribution Mixture model Income protection insurance Likelihood function Mixture distribution Statistics Statistical models Estimation theory

UPDATE