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Learning theory
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1	Theory Learning and Logical Rule Induction with Neural Theorem Proving Andres Campero 1 Aldo Pareja 2 Tim Klinger 2 Josh Tenenbaum 1 Sebastian Riedel 3 1. Introduction A hallmark of human cognition is the ability to con Add to Reading List Source URL: uclmr.github.io Language: English - Date: 2018-08-06 06:17:49 Logic Reasoning Inductive reasoning Predicate logic Mathematical logic Predicate Propositional calculus Inference Universal quantification Axiom
2	8 The author uses the theory and process of organizational learning to make a case for how to understand and address the cultural and structural barriers that preclude colleges and universities from producing equitable Add to Reading List Source URL: opportgap.pages.tcnj.edu Language: English - Date: 2017-05-07 18:43:21
3	Stat 928: Statistical Learning Theory Lecture: 4 The Central Limit Theorem; Large Deviations; and Rate Functions Instructor: Sham Kakade Add to Reading List Source URL: stat.wharton.upenn.edu Language: English - Date: 2011-01-27 22:12:22
4	Stat 928: Statistical Learning Theory Lecture: 22 Exponentiated Gradient Descent Instructor: Sham Kakade Add to Reading List Source URL: stat.wharton.upenn.edu Language: English - Date: 2011-04-18 18:20:03
5	ECE901 Spring 2007 Statistical Learning Theory Instructor: R. Nowak Lecture 13: Maximum Likelihood Estimation Add to Reading List Source URL: nowak.ece.wisc.edu Language: English - Date: 2012-03-09 07:33:42
6	IEEE TRANSACTIONS ON INFORMATION THEORY, VOL. 60, NO. 4, APRILDecentralized Learning for Multiplayer Multiarmed Bandits Add to Reading List Source URL: bcci.me.berkeley.edu Language: English - Date: 2017-09-07 11:50:00
7	Statistical learning theory : a primer Louis Wehenkel University of Li`ege - Institut Montefiore Department of Electrical Engineering and Computer Science Email : February 1, 2018 Add to Reading List Source URL: www.montefiore.ulg.ac.be Language: English - Date: 2018-02-28 11:12:49
8	Stat 928: Statistical Learning Theory Lecture: 19 Perceptron Lower Bound & The Winnow Algorithm Instructor: Sham Kakade Add to Reading List Source URL: stat.wharton.upenn.edu Language: English - Date: 2011-04-05 21:10:43
9	ECE901 Spring 2007 Statistical Learning Theory Instructor: R. Nowak Lecture 14: Maximum Likelihood and Complexity Regularization Review : Maximum Likelihood Estimation We have n i.i.d observations drawn from an unknown Add to Reading List Source URL: nowak.ece.wisc.edu Language: English - Date: 2012-03-09 07:33:43
10	AML - INFO8004-1 The Theory of the Learnable General Conditions for Predictivity in Learning Theory ´ Christophe & Sacre ´ Lo¨ıc & Noirhomme Add to Reading List Source URL: www.montefiore.ulg.ac.be Language: English - Date: 2018-04-18 08:12:03

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