Statistical learning theory

Results: 800



#Item
371Computing / Spamming / Statistical classification / Machine learning / Bayesian statistics / Anti-spam techniques / Spam / Naive Bayes classifier / N-gram / Statistics / Internet / Spam filtering

Using Naive Bayes to Detect Spammy Names in Social Networks David Mandell Freeman LinkedIn Corporation 2029 Stierlin Ct. Mountain View, CA[removed]USA

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Source URL: theory.stanford.edu

Language: English - Date: 2013-09-12 03:21:37
372Bayesian statistics / Philosophy of science / Statistical theory / Statistical inference / Cognitive science / Bayesian inference / Concept learning / ACT-R / Psychology / Science / Knowledge / Statistics

BEHAVIORAL AND BRAIN SCIENCES[removed], 169 –231 doi:[removed]S0140525X10003134 Bayesian Fundamentalism or Enlightenment? On the explanatory status and theoretical contributions of

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Source URL: sydney.edu.au

Language: English - Date: 2011-09-16 01:17:34
373Estimation theory / Statistical inference / Econometrics / Linear regression / Regularization / Resampling / Generalization error / Least squares / Validity / Statistics / Regression analysis / Machine learning

Enhancing Validity in Observational Settings When Replication is Not Possible Christopher J. Fariss and Zachary M. Jones Abstract We argue that political scientists can enhance the external validity of models of observat

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Source URL: zmjones.com

Language: English - Date: 2015-04-02 22:01:09
374Statistical models / Data modeling / Database constraints / Statistics / Relational model / Relational database / Probabilistic relational model / Database normalization / Function / Data management / Mathematics / Database theory

Journal of Machine Learning Research[removed] Submitted 12/01; Published[removed]Learning Probabilistic Models of Link Structure Lise Getoor

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Source URL: www.jmlr.org

Language: English - Date: 2004-09-05 14:59:07
375Cybernetics / Artificial intelligence / Statistical inference / Learning / Computational learning theory / Inductive bias / Probably approximately correct learning / Artificial neuron / Statistical hypothesis testing / Statistics / Machine learning / Science

2D1431 Machine Learning Exam 2002-02-14 8:00-13:00 L21-22 Frank Ho mann e-mail: ho mann@nada.kth.se December 20, 2002

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Source URL: www.nada.kth.se

Language: English
376Search algorithms / Computational statistics / K-nearest neighbor algorithm / Plagiarism detection / Coding theory / Pattern recognition / Statistical classification / Nearest neighbor search / Machine learning / Artificial intelligence / Information science

Algorithms for Nearest Neighbors Background and Two Challenges Yury Lifshits Steklov Institute of Mathematics at St.Petersburg http://logic.pdmi.ras.ru/~yura

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Source URL: yury.name

Language: English - Date: 2007-12-08 06:42:12
377Homework / Standards-based education / Education / Learning / Education reform

STATISTICS 582: Advanced Theory of Statistical Inference Winter, 2015 Time:

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Source URL: www.stat.washington.edu

Language: English - Date: 2015-01-05 11:01:21
378Econometrics / Scientific method / Statistical methods / Statistical inference / Linear regression / Data mining / Bayesian inference / Optimal design / Machine learning / Statistics / Statistical theory / Regression analysis

1 DEPARTMENT OF STATISTICS AND DATA SCIENCES UT Summer Statistics Institute The University of Texas at Austin

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Source URL: stat.utexas.edu

Language: English - Date: 2015-01-12 11:39:06
379Econometrics / Scientific method / Statistical methods / Statistical inference / Linear regression / Data mining / Bayesian inference / Optimal design / Machine learning / Statistics / Statistical theory / Regression analysis

1 DEPARTMENT OF STATISTICS AND DATA SCIENCES UT Summer Statistics Institute The University of Texas at Austin

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Source URL: stat.utexas.edu

Language: English - Date: 2015-01-12 09:51:01
380Research methods / Research / Economic model / Analysis / Theory / Data analysis / Statistical hypothesis testing / Science / Ethology / Scientific method

KRA407 Honours –scientific research - thesis Developed by Chris Hyland, Greg Dicinoski and Moira Cordiner This sheet is a revision of an earlier sheet that did not link the criteria closely enough to the learning out

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Source URL: www.teaching-learning.utas.edu.au

Language: English - Date: 2011-09-18 19:31:40
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