Learning theory - PDFSEARCH.IO - Document Search Engine

Learning theory
Results: 7211

#	Item
631	Multiverse Recommendation: N-dimensional Tensor Factorization for Context-aware Collaborative Filtering Alexandros Karatzoglou Xavier Amatriain Add to Reading List Source URL: www.nuriaoliver.com Language: English - Date: 2016-02-16 11:13:00 Matrix theory Recommender systems Collaboration Linear algebra Collaborative filtering Singular value decomposition Tensor Higher-order singular value decomposition Matrix Personalization Machine learning Non-negative matrix factorization
632	Sta$s$cal Algorithms and the Planted Clique Problem (and random graphs, linear equa$ons, & machine learning) Add to Reading List Source URL: www.levreyzin.com Language: English - Date: 2015-11-09 17:26:18 Graph theory Mathematics Discrete mathematics Random graphs Clique ErdsRnyi model
633	LEARNING LARGE-ALPHABET AND ANALOG CIRCUITS WITH VALUE INJECTION QUERIES Dana Angluin1 James Aspnes1 Jiang Chen2 Add to Reading List Source URL: www.levreyzin.com Language: English - Date: 2010-09-09 14:03:20 Computational complexity theory Theory of computation Theoretical computer science Circuit complexity Complexity classes Clique problem Boolean circuit ACC0 Clique Circuit NC
634	JMLR: Workshop and Conference Proceedings vol–25th Annual Conference on Learning Theory Towards Minimax Policies for Online Linear Optimization with Bandit Feedback Add to Reading List Source URL: jmlr.csail.mit.edu Language: English - Date: 2012-06-17 06:50:54 Decision theory Regret Big O notation
635	ActiveClean: Interactive Data Cleaning While Learning Convex Loss Models Sanjay Krishnan, Jiannan Wang, Eugene Wu † , Michael J. Franklin, Ken Goldberg UC Berkeley, † Columbia University {sanjaykrishnan, jnwang, fran Add to Reading List Source URL: sampleclean.org Language: English - Date: 2016-01-15 13:57:46 Statistics Statistical theory Estimator Statistical inference M-estimators Convex optimization Stochastic gradient descent Bias of an estimator Loss function Data analysis Linear regression Generalised Hough transform
636	Introduction to Statistical Learning Theory Olivier Bousquet1 , St´ephane Boucheron2 , and G´abor Lugosi3 1 Max-Planck Institute for Biological Cybernetics Spemannstr. 38, DT¨ Add to Reading List Source URL: www.econ.upf.edu Language: English - Date: 2004-07-08 09:05:04 Machine learning Learning Artificial intelligence Supervised learning Statistical learning theory Empirical risk minimization Probability distribution Pattern recognition Generalization error Stability
637	4164 IEEE TRANSACTIONS ON INFORMATION THEORY, VOL. 58, NO. 7, JULY 2012 Interior-Point Methods for Full-Information and Bandit Online Learning Add to Reading List Source URL: www-stat.wharton.upenn.edu Language: English - Date: 2013-03-18 20:18:38 Mathematical optimization Convex analysis Operations research Convex optimization Machine learning Self-concordant function Interior point method Ellipsoid method Linear programming Algorithm Convex set Stability
638	Shift-Pessimistic Active Learning Using Robust Bias-aware Prediction Anqi Liu, Lev Reyzin and Brian D. Ziebart University of Illinois at Chicago , , Introduction •  Add to Reading List Source URL: www.levreyzin.com Language: English Statistics Knowledge Estimation theory Academia Statistical inference Machine learning Generalization error Confidence interval Regression analysis Kernel density estimation
639	Learning from Corrupted Binary Labels via Class-Probability Estimation Aditya Krishna Menon∗ ADITYA . MENON @ NICTA . COM . AU Brendan van Rooyen† BRENDAN . VANROOYEN @ NICTA . COM . AU Add to Reading List Source URL: jmlr.org Language: English - Date: 2015-09-16 19:38:46 Statistics Estimation theory Expectationmaximization algorithm Missing data Mathematical analysis Mathematics Probability distributions
640	An Emphatic Approach to the Problem of Off-policy Temporal-Difference Learning arXiv:1503.04269v1 [cs.LG] 14 MarRichard S. Sutton Add to Reading List Source URL: arxiv.org Language: English - Date: 2015-03-16 20:16:49 Algebra Linear algebra Mathematics Markov models Markov processes Matrix theory Matrices Q-learning Markov chain Matrix Reinforcement learning Temporal difference learning

UPDATE