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Statistical learning theory
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121	Statistics, Data Mining and Machine Learning in Astronomy: A Practical Python Guide for the Analysis of Survey Data ˇ ´, Andrew J. Connolly, Jacob T. VanderPlas Zeljko Add to Reading List Source URL: www.astroml.org Language: English - Date: 2014-01-27 13:51:41 Statistics Software Knowledge Formal sciences Estimation theory Statistical theory Machine learning Statistical models Time series Regression analysis Linear regression Statistical inference
122	IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 53, NO. 11, NOVEMBERNonparametric Decentralized Detection Using Kernel Methods Add to Reading List Source URL: dept.stat.lsa.umich.edu Language: English - Date: 2005-10-29 19:46:54 Machine learning Learning Artificial intelligence Statistics Support vector machine Kernel method Statistical classification Positive-definite kernel Empirical risk minimization Loss function Statistical learning theory Bayes estimator
123	Rational Randomness: The role of sampling in an algorithmic account of preschooler’s causal learning Bonawitz, E., Gopnik, A., Denison, S., Griffiths, T. L. University of California, Berkeley; Berkeley, CA 94720 Add to Reading List Source URL: ccdlab.rutgers.edu Language: English Statistics Philosophy Logic Statistical inference Philosophy of science Statistical theory Reasoning Bayesian inference Statistical forecasting Bayesian network Bayesian statistics Inductive reasoning
124	Forum Probabilistic models, learning algorithms, and response variability: sampling in cognitive development Elizabeth Bonawitz1, Stephanie Denison2, Thomas L. Griffiths3, and Alison Gopnik3 Add to Reading List Source URL: cocosci.berkeley.edu Language: English - Date: 2014-09-25 19:59:53 Statistical inference Statistical theory Philosophy of science Sampling techniques Psychometrics Bayesian inference Statistics Monte Carlo method Statistical hypothesis testing Sampling Causality Bayesian network
125	An Introduction to Machine Learning L1: Basics and Probability Theory Alexander J. Smola Statistical Machine Learning Program Canberra, ACT 0200 Australia Add to Reading List Source URL: alex.smola.org Language: English - Date: 2013-09-09 02:27:55
126	Introduction A First Approach The Road Ahead Mutual Constraint in Bayesian Learning of Word Reference and Word Meaning Add to Reading List Source URL: www.luke.maurits.id.au Language: English - Date: 2016-04-23 00:08:24 Educational psychology Bayesian inference Statistical forecasting Statistical inference Statistical theory Educational technology Learning
127	Learning to Predict Trajectories of Cooperatively Navigating Agents Henrik Kretzschmar Markus Kuderer Abstract— The problem of modeling the navigation behavior Add to Reading List Source URL: europa2.informatik.uni-freiburg.de Language: English - Date: 2014-10-22 05:09:39 Statistics Probability Statistical theory Markov models Bayesian statistics Information theory Probability distribution Principle of maximum entropy Reinforcement learning Entropy Markov chain Mode
128	THE SPEED OF SOCIAL LEARNING MATAN HAREL, ELCHANAN MOSSEL, PHILIPP STRACK, AND OMER TAMUZ Abstract. We consider two Bayesian agents who learn from exogenously provided private signals, as well as the actions of the other Add to Reading List Source URL: people.hss.caltech.edu Language: English - Date: 2015-10-05 18:07:25 Estimation theory Statistical theory Statistics Bayesian statistics Likelihood function Statistical inference
129	Social Learning in a Changing World Rafael M. Frongillo∗, Grant Schoenebeck† and Omer Tamuz‡ arXiv:1109.5482v1 [cs.SI] 26 SepSeptember 27, 2011 Add to Reading List Source URL: people.hss.caltech.edu Language: English - Date: 2012-03-08 06:42:19 Statistics Estimation theory Statistical theory Bias of an estimator GaussMarkov theorem Covariance Variance Maximum likelihood estimation Kalman filter Expected value Efficiency Estimator
130	JMLR: Workshop and Conference Proceedings vol 40:1–21, 2015 Learning and inference in the presence of corrupted inputs Uriel Feige URIEL . FEIGE @ WEIZMANN . AC . IL Add to Reading List Source URL: jmlr.org Language: English - Date: 2015-07-20 20:08:36 Machine learning Learning Stability Linear programming Function Statistical learning theory Matching

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