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Statistics and Computer Science
Results: 1736

#	Item
351	Active Learning for Multi-Class Logistic Regression Andrew I. Schein and Lyle H. Ungar The University of Pennsylvania Department of Computer and Information Science 3330 Walnut Street Add to Reading List Source URL: www.andrewschein.com Language: English - Date: 2011-08-13 15:20:03 Regression analysis Statistical classification Training set Statistics Machine learning Logistic regression
352	A New Characterization of the Experimental Implications of Causal Bayesian Networks Jin Tian and Judea Pearl Cognitive Systems Laboratory Computer Science Department University of California, Los Angeles, CA 90024 Add to Reading List Source URL: www.cs.iastate.edu Language: English - Date: 2002-04-09 15:52:33 Causality Graphical models Networks Bayesian network Causal model Markov property Variable Causal diagram Clark Glymour Statistics Statistical models Bayesian statistics
353	Approximation Algorithms and Hardness Results for Shortest Path Based Graph Orientations Dima Blokh1 Danny Segev2 Roded Sharan1 1. School of Computer Science, Tel Aviv University, 2. Department of Statistics, University Add to Reading List Source URL: www.cs.ucr.edu Language: English - Date: 2012-12-29 15:22:26 Network theory Graph connectivity Shortest path problem Path Graph theory Mathematics Theoretical computer science
354	A CORRECTIVE FRAMEWORK FOR FACIAL FEATURE DETECTION AND TRACKING Hussein O. Hamshari, Steven S. Beauchemin Department of Computer Science, University of Western Ontario, 1151 Richmond Street, London, Canada hohamsha@uwo. Add to Reading List Source URL: www.csd.uwo.ca Language: English - Date: 2007-11-09 18:40:39 Statistics Eye tracking Scale-invariant feature transform Receiver operating characteristic BitTorrent tracker Face detection Tracking Type I and type II errors Object recognition Computer vision Vision Optics
355	A Characterization of Interventional Distributions in Semi-Markovian Causal Models Jin Tian and Changsung Kang Department of Computer Science Iowa State University Ames, IA 50011 Add to Reading List Source URL: www.cs.iastate.edu Language: English - Date: 2006-04-25 20:04:35 Causality Logical syntax Stochastic processes Conditionals Bayesian network Causal model Entailment Markov process Causal diagram Statistics Logic Statistical models
356	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
357	Composition of Cryptographic Protocols in a Probabilistic Polynomial-Time Process Calculus P. Mateus1 ? , J. Mitchell2 ?? , and A. Scedrov3 ? ? ? 1 Add to Reading List Source URL: theory.stanford.edu Language: English - Date: 2004-04-23 20:06:40 Markov processes Markov chain PP RSA IP Stochastic process Statistics Theoretical computer science Applied mathematics
358	Fast and Adaptive Online Training of Feature-Rich Translation Models Spence Green, Sida Wang, Daniel Cer, and Christopher D. Manning Computer Science Department, Stanford University {spenceg,sidaw,danielcer,manning}@stan Add to Reading List Source URL: nlp.stanford.edu Language: English - Date: 2013-08-07 08:12:24 Statistical classification Neural networks Dimension reduction Feature selection Model selection Perceptron Feature scaling BLEU Algorithm Statistics Machine learning Artificial intelligence
359	Topic Modeling for the Social Sciences Daniel Ramage, Evan Rosen, Jason Chuang, Christopher D. Manning and Daniel A. McFarland* Computer Science Department and School of Education* Stanford University Stanford, CA 94305 Add to Reading List Source URL: nlp.stanford.edu Language: English - Date: 2009-12-02 10:34:44 Statistics Medicine Topic model Dynamic topic model Latent Dirichlet allocation AIDS HIV Scientific modelling Zidovudine Statistical natural language processing HIV/AIDS Health
360	Identifying Linear Causal Effects Jin Tian Department of Computer Science Iowa State University Ames, IA 50011 Add to Reading List Source URL: www.cs.iastate.edu Language: English - Date: 2004-08-19 14:36:33 Statistical dependence Graphical models Covariance and correlation Causality Instrumental variable Linear regression Bayesian network Causal structure Covariance Statistics Econometrics Regression analysis

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