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Statistical learning theory
Results: 800

#	Item
301	Evaluating Hypotheses Henrik Andreasson AASS, Learning Systems Lab April 2005 Add to Reading List Source URL: aass.oru.se Language: English - Date: 2005-05-04 08:52:17 Error Hypothesis testing Statistical theory Variance Normal distribution Statistical hypothesis testing Confidence interval Binomial distribution Errors and residuals in statistics Statistics Statistical inference Measurement
302	A Scalable Probabilistic Classifier for Language Modeling Joel Lang Institute for Language, Cognition and Computation School of Informatics, University of Edinburgh 10 Crichton Street, Edinburgh EH8 9AB, UK Add to Reading List Source URL: www.aclweb.org Language: English - Date: 2011-05-20 16:12:48 Bayesian statistics Machine learning N-gram Maximum likelihood Hidden Markov model Principle of maximum entropy Training set Perceptron Entropy Statistics Probability and statistics Statistical theory
303	Convex Structure Learning for Bayesian Networks: Polynomial Feature Selection and Approximate Ordering Yuhong Guo and Dale Schuurmans Department of Computing Science University of Alberta Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2006-05-23 00:36:59 Graphical models Networks Statistical models Bayesian network Exponential family Bayesian inference Mathematical optimization Maximum likelihood Feature selection Statistics Bayesian statistics Statistical theory
304	Decision Tree Learning read Chapter 3] recommended exercises 3.1, 3.4] Decision tree representation ID3 learning algorithm Entropy, Information gain Add to Reading List Source URL: aass.oru.se Language: English - Date: 2005-03-31 12:57:41 Cybernetics Statistical theory Science Applied mathematics Philosophy of thermal and statistical physics Information theory Entropy Decision tree learning Kullback–Leibler divergence Statistics Thermodynamic entropy Decision trees
305	Copyright © 2011 by Statistical Innovations Inc. All rights reserved. (version: Tutorial 4: Obtaining Predictions from a 2-class Regression in CORExpress® Dataset for running CCR Linear Regression (CCR.lm Add to Reading List Source URL: statisticalinnovations.com Language: English - Date: 2012-02-08 14:34:21 Estimation theory Parametric statistics Machine learning Linear regression Cross-validation SPSS Ordinary least squares GUI widget Statistics Regression analysis Econometrics
306	A Course in Machine Learning Hal Daumé III 14 \| E XPECTATION M AXIMIZATION Add to Reading List Source URL: ciml.info Language: English - Date: 2014-09-24 16:08:33 Machine learning Cluster analysis Expectation–maximization algorithm Missing data Maximum likelihood Mixture model K-means clustering Likelihood-ratio test Dimensional analysis Statistics Estimation theory Statistical theory
307	Journal of Artificial Intelligence Research441 Submitted 03/12; publishedTransforming Graph Data for Statistical Relational Learning Ryan A. Rossi Add to Reading List Source URL: www.jair.org Language: English - Date: 2012-10-30 19:53:21 Graph theory Mathematics Statistical relational learning Database Topology Knowledge representation and reasoning Graph Electronics Social network analysis software Statistics Machine learning Database management systems
308	Spatial Priors for Part-Based Recognition using Statistical Models David Crandall1 Cornell University Pedro Felzenszwalb Add to Reading List Source URL: www.cs.cornell.edu Language: English - Date: 2007-05-22 23:30:59 Image processing Artificial intelligence Estimation theory Object recognition Maximum likelihood Edge detection One-shot learning Scale-invariant feature transform Computer vision Vision Imaging
309	A-Optimality for Active Learning of Logistic Regression Classifiers∗ Andrew I. Schein and Lyle H. Ungar Department of Computer and Information Science Levine Hall, 3330 Walnut Street Philadelphia, PA Add to Reading List Source URL: www.andrewschein.com Language: English - Date: 2011-08-13 15:16:54 Econometrics Statistical theory Statistical methods Optimal design Linear regression Supervised learning Loss function Regularization Statistical classification Statistics Regression analysis Machine learning
310	Microsoft PowerPoint - ART05 revised 0415.ppt Add to Reading List Source URL: statisticalinnovations.com Language: English - Date: 2006-09-05 12:14:47 Statistical methods Machine learning Estimation theory Overfitting Linear regression Statistics Regression analysis Econometrics

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