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Statistical learning theory
Results: 800

#	Item
421	How to Spice up your Planning under Uncertainty Research Life Scott Sanner Statistical Machine Learning Group NICTA, Australian National University Canberra, Australia [removed] Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2008-07-26 06:52:13 Neuropsychological assessment Operations research Decision theory Automated planning and scheduling Planning Domain Definition Language Systems engineering Reinforcement learning Stochastic Decision making Statistics Science Probability and statistics
422	1 Training and Approximation of a Primal Multiclass Support Vector Machine Alexander Zien1,2 and Fabio De Bona1 and Cheng Soon Ong1,2 Add to Reading List Source URL: www.ong-home.my Language: English - Date: 2013-12-12 02:50:01 Statistical classification Operator theory Machine learning Support vector machines Projection Positive-definite kernel Normal distribution Function Statistics Mathematical analysis Mathematics
423	Journal of Machine Learning Research[removed]xxxx Submitted xx/xx; Published xx/xx Learning the Kernel with Hyperkernels Cheng Soon Ong Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2003-06-01 22:09:54 Hilbert space Operator theory Reproducing kernel Hilbert space Statistical classification Positive-definite kernel Kernel trick Kernel Support vector machine Integral transform Algebra Mathematics Linear algebra
424	Journal of Machine Learning Research1182 Submitted 11/02; Published 3/03 An Introduction to Variable and Feature Selection Isabelle Guyon Add to Reading List Source URL: clopinet.com Language: English - Date: 2003-10-01 01:54:48 Statistical dependence Probability theory Information theory Feature selection Linear regression Mutual information Correlation and dependence Stepwise regression Causality Statistics Regression analysis Econometrics
425	Composite Likelihood Data Augmentation for Within-Network Statistical Relational Learning Joseph J. Pfeiffer III Jennifer Neville Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2015-01-17 04:41:12 Statistical inference Econometrics Statistical theory Expectation–maximization algorithm Confidence interval Maximum likelihood Conjugate prior Gibbs sampling Variational Bayesian methods Statistics Bayesian statistics Estimation theory
426	Notes 11 Statistical Machine Learning Probabilistic Learning Instructor: Justin Domke Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2011-11-07 14:35:37 Maximum likelihood Fisher information Normal distribution Multivariate normal distribution Likelihood function Kullback–Leibler divergence Bias of an estimator Support Expectation–maximization algorithm Statistics Estimation theory Statistical theory
427	Journal of Machine Learning Research2869 Submitted 1/12; Revised 7/12; PublishedA Unified View of Performance Metrics: Translating Threshold Choice into Expected Classification Loss Add to Reading List Source URL: www.jmlr.org Language: English - Date: 2012-10-05 15:31:10 Detection theory Receiver operating characteristic Socioeconomics Statistical classification Statistical hypothesis testing Statistics Data mining Biostatistics
428	6.867 Machine learning, lecture 14 (Jaakkola) 1 Lecture topics: • margin and generalization Add to Reading List Source URL: ocw.mit.edu Language: English - Date: 2015-03-15 16:36:56 Dimension Linear algebra Statistical classification Computational learning theory Mixture model VC dimension Kernel Mixture distribution Perceptron Algebra Mathematics Statistics
429	6.867 Machine learning, lecture 12 (Jaakkola) 1 Lecture topics: model selection criteria • Feature subset selection (cont’d) Add to Reading List Source URL: ocw.mit.edu Language: English - Date: 2015-03-15 16:36:56 Estimation theory Statistical theory Information theory Naive Bayes classifier Mutual information Likelihood function Loss function Statistics Bayesian statistics Statistical classification
430	6.867 Machine learning, lecture 1 (Jaakkola) 1 Example Let’s start with an example. Suppose we are charged with providing automated access Add to Reading List Source URL: ocw.mit.edu Language: English - Date: 2015-03-15 16:36:56 Statistical theory Perceptron Loss function Function Statistics Mathematics Neural networks

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