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Statistical learning theory
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#	Item
451	Evaluating the Efficacy of Grasp Metrics for Utilization in a Gaussian Process-Based Grasp Predictor Alex K. Goins1 , Ryan Carpenter1 , Weng-Keen Wong2 , and Ravi Balasubramanian1 Abstract— With the goal of advancing t Add to Reading List Source URL: web.engr.oregonstate.edu Language: English - Date: 2014-06-25 13:09:17 Statistical classification Software design Data mining Detection theory Receiver operating characteristic GRASP Industrial robot Manipulator GRaphics Animation System for Professionals Statistics Machine learning Technology
452	Journal of Artificial Intelligence Research[removed] Submitted 04/13; published[removed]Learning Optimal Bayesian Networks: A Shortest Path Perspective Add to Reading List Source URL: www.jair.org Language: English - Date: 2013-10-16 20:39:07 Bayesian statistics Statistical models Graphical models Game artificial intelligence Search algorithms Bayesian network A* search algorithm Shortest path problem Directed acyclic graph Graph theory Mathematics Applied mathematics
453	[removed]Machine Learning, Spring 2011: Homework 1 Due: Tuesday, January 25, at the beginning of class Instructions There are 3 questions on this assignment. The last question involves coding. Attach your code to the write Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2011-01-14 19:42:06 Statistical theory Decision trees Poisson processes Pruning Kullback–Leibler divergence Poisson distribution Normal distribution Mutual information Conditional entropy Statistics Information theory Probability and statistics
454	Discriminative Learning of Relaxed Hierarchy for Large-scale Visual Recognition Tianshi Gao Dept. of Electrical Engineering Stanford University Add to Reading List Source URL: ai.stanford.edu Language: English - Date: 2011-11-20 00:44:23 Support vector machine FO Multiclass classification Computational complexity theory Big O notation Perceptron Statistics Statistical classification Mathematics
455	[removed]Machine Learning, Spring 2011: Homework 2 Due: Friday Feb. 4 at 4pm in Sharon Cavlovich’s office (GHC[removed]Instructions There are 3 questions on this assignment. The last question involves coding. Please submit Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2011-02-17 18:22:06 Multivariate normal distribution Normal distribution Kullback–Leibler divergence Covariance matrix Conditional mutual information Conditional entropy Mutual information Joint probability distribution Statistical classification Statistics Information theory Naive Bayes classifier
456	JMLR: Workshop and Conference Proceedings vol[removed]–7.13 25th Annual Conference on Learning Theory The Optimality of Jeffreys Prior for Online Density Estimation and the Asymptotic Normality of Maximum Likelih Add to Reading List Source URL: www.jmlr.org Language: English - Date: 2012-06-17 06:50:52 M-estimators Maximum likelihood Fisher information Parametric model Estimation theory Statistics Statistical theory
457	In Proceedings of the Seventeenth National Conference on Artificial Intelligence (AAAI-00), pages[removed], Austin, Texas, August[removed]Restricted Bayes Optimal Classifiers Add to Reading List Source URL: ai.stanford.edu Language: English - Date: 2005-10-03 21:16:12 Naive Bayes classifier Margin classifier Decision boundary Bayesian inference Generative model Density estimation Estimation theory Linear classifier Book:Machine Learning - The Complete Guide Statistics Statistical classification Support vector machine
458	! ! Data Science and Technology Entrepreneurship Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2013-03-04 10:02:39 Statistical classification Machine learning Linear classifier Algebraic number theory Multivariate statistics Perceptron Discriminant Vector space Linear discriminant analysis Algebra Statistics Mathematics
459	Graphical Models Zoubin Ghahramani Department of Engineering University of Cambridge, UK [removed] http://learning.eng.cam.ac.uk/zoubin/ Add to Reading List Source URL: videolectures.net Language: English - Date: 2013-01-04 03:55:51 Bayesian statistics Probability and statistics Statistical models Probability theory Networks Bayesian network Bayesian inference Factor graph Belief propagation Statistics Graphical models Graph theory
460	[removed]Machine Learning, Spring 2011: Homework 2 Due: Friday Feb. 4 at 4pm in Sharon Cavlovich’s office (GHC[removed]Instructions There are 3 questions on this assignment. The last question involves coding. Please submit Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2011-01-26 12:02:42 Statistical theory Bayesian statistics Machine learning Naive Bayes classifier Kullback–Leibler divergence Mutual information Conditional entropy Joint probability distribution Normal distribution Statistics Information theory Statistical classification

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