Statistical learning theory - PDFSEARCH.IO - Document Search Engine

Statistical learning theory
Results: 800

#	Item
721	Mistake Bounds for Maximum Entropy Discrimination Philip M. Long Center for Computational Learning Systems Columbia University [removed] Add to Reading List Source URL: www.phillong.info Language: English - Date: 2013-08-07 12:11:42 Probability and statistics Information theory Philosophy of thermal and statistical physics Thermodynamic entropy Randomness Entropy Kullback–Leibler divergence Principle of maximum entropy Entailment Statistics Statistical theory Logic
722	1 Introduction Smoothing Spline ANOVA (SS-ANOVA) models in reproducing kernel Hilbert spaces (RKHS) provide a very general framework for data analysis, modeling and learning in a variety of fields. Add to Reading List Source URL: www.modern-medical-science.site88.net Language: English - Date: 2013-02-01 20:18:06 Polynomials Operator theory Statistical tests Ordinary differential equations Non-parametric statistics
723	Probabilistic Complex Event Triggering Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2005-12-18 02:16:40 Estimation theory Probability and statistics Machine learning Bayesian network Expectation–maximization algorithm Probability Graphical model Supervised learning Probabilistic logic Statistics Bayesian statistics Statistical models
724	Asymptotic Active Learning Maria-Florina Balcan∗ Eyal Even-Dar† Yishay Mansour¶ Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2007-11-10 14:35:17 Mathematics Computational learning theory Theoretical computer science Learning Statistical inference Supervised learning Active learning VC dimension Statistical classification Statistics Machine learning Applied mathematics
725	On Contrastive Divergence Learning ´ Carreira-Perpi˜ Miguel A. n´ an∗ Add to Reading List Source URL: deeplearning.cs.cmu.edu Language: English - Date: 2013-10-01 00:27:22 Markov models Statistical inference Boltzmann machine Kullback–Leibler divergence Markov chain Gibbs sampling Normal distribution Maximum likelihood Estimator Statistics Estimation theory Statistical theory
726	Similarity-Based Theoretical Foundation for Sparse Parzen Window Prediction Maria-Florina Balcan Avrim Blum Computer Science Department, Carnegie Mellon University Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2008-05-06 20:35:46 Statistical classification Machine learning Operator theory Learning Support vector machine Hinge loss Relevance vector machine Hilbert space Function Statistics Mathematics Artificial intelligence
727	ARTICLE Communicated by Javier Movellan Training Products of Experts by Minimizing Contrastive Divergence Add to Reading List Source URL: deeplearning.cs.cmu.edu Language: English - Date: 2013-10-01 00:27:12 Estimation theory Statistical models Expectation–maximization algorithm Mixture model Maximum likelihood Gibbs sampling Product of Experts Kullback–Leibler divergence Boltzmann machine Statistics Statistical theory Machine learning
728	The True Sample Complexity of Active Learning Maria-Florina Balcan Computer Science Department Carnegie Mellon University [removed] Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2008-05-04 17:50:21 Computational learning theory Applied mathematics Dimension Statistical classification VC dimension Big O notation Algorithm Mathematics Machine learning Statistics
729	Efficient Gradient Estimation for Motor Control Learning Gregory Lawrence Computer Science Division U.C. Berkeley [removed] Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2003-05-29 21:23:19 Statistical theory Least squares Markov models Estimator Reinforcement learning Variance Mean squared error Importance sampling Bias of an estimator Statistics Estimation theory Statistical inference
730	Improved Guarantees for Learning via Similarity Functions Maria-Florina Balcan Avrim Blum Computer Science Department, Carnegie Mellon University {ninamf,avrim}@cs.cmu.edu Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2008-05-13 17:43:56 Generalized functions Statistical theory Decision theory Econometrics Loss function Function Sheaf Supervised learning Support vector machine Mathematics Mathematical analysis Statistics

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