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281	12 Function Fitting The goal of function fitting is to choose values for the parameters in a function to best describe a set of data. There are many possible reasons to do this. If a specific meaningful form for the fun Add to Reading List Source URL: fab.cba.mit.edu Language: English - Date: 2014-04-13 17:53:09 Regression analysis Least squares Numerical linear algebra Singular value decomposition Normal distribution Linear least squares Non-linear least squares Kernel Ordinary least squares Algebra Linear algebra Statistics
282	Visualizing the Turing Tarpit Jason Hemann Eric Holk Indiana University Add to Reading List Source URL: www.cs.indiana.edu Language: English - Date: 2013-07-06 00:24:10 Applied mathematics Iota and Jot Combinatory logic Beta normal form Evaluation strategy Jot Binary lambda calculus Reduction strategy Lambda Lambda calculus Theoretical computer science Mathematical logic
283	Ann Math Artif Intell DOI[removed]s10472[removed]A unifying learning framework for building artificial game-playing agents Wenlin Chen · Yixin Chen · David K. Levine Add to Reading List Source URL: www.dklevine.com Language: English - Date: 2015-02-11 05:55:08 Science Best response Normal-form game Nash equilibrium Repeated game Strategy Reinforcement learning Machine learning Outcome Game theory Problem solving Economics
284	Payoff Information and Self-Confirming Equilibrium1 First version: April 25, 1995 This revision: July 12, 1999 Eddie Dekel Add to Reading List Source URL: www.dklevine.com Language: English - Date: 1999-07-12 13:09:31 Solution concept Nash equilibrium Outcome Rationalizability Normal-form game Strategic dominance Strategy Trembling hand perfect equilibrium Information set Game theory Extensive-form game Self-confirming equilibrium
285	6.867 Machine learning, lecture 7 (Jaakkola) 1 Lecture topics: • Kernel form of linear regression Add to Reading List Source URL: ocw.mit.edu Language: English - Date: 2015-03-15 16:36:56 Operator theory Normal distribution Vector space Algebra Mathematics Vectors
286	When is Reputation Bad?1 Jeffrey Ely Drew Fudenberg David K. Levine2 First Version: April 22, 2002 This Version: November 20, 2005 Add to Reading List Source URL: www.dklevine.com Language: English - Date: 2005-11-21 14:01:27 Nash equilibrium Outcome Best response Normal-form game Repeated game Strategy Bayesian game Risk dominance Game theory Problem solving Extensive-form game
287	MEASURING PLAYERS’ LOSSES IN EXPERIMENTAL GAMES* Drew Fudenberg and David K. Levine October 7, 1996 Add to Reading List Source URL: www.dklevine.com Language: English - Date: 1996-12-07 20:22:50 Nash equilibrium Extensive-form game Centipede game Solution concept Outcome Strategy Determinacy Normal-form game Best response Game theory Problem solving Self-confirming equilibrium
288	Continuous Time Limits of Repeated Games with Imperfect Public Monitoring1 Drew Fudenberg and David K. Levine2 This version: [removed]First version: [removed] Add to Reading List Source URL: www.dklevine.com Language: English - Date: 2007-05-29 08:07:41 Outcome Strategy Normal-form game Repeated game Risk dominance Game theory Problem solving Nash equilibrium
289	The Nash Threats Folk Theorem With Communication and Approximate Common Knowledge in Two Player Games1 Drew Fudenberg David K. Levine2 Add to Reading List Source URL: www.dklevine.com Language: English - Date: 2004-06-17 14:23:12 Outcome Quadrature amplitude modulation Strategy Trembling hand perfect equilibrium Normal-form game Repeated game Risk dominance Epsilon-equilibrium Game theory Problem solving Nash equilibrium
290	Indexing Boolean Expressions Steven Euijong Whang, Hector Garcia-Molina Stanford University, Stanford, CA {swhang,hector}@cs.stanford.edu Chad Brower, Jayavel Shanmugasundaram, Sergei Vassilvitskii, Erik Vee, Add to Reading List Source URL: www.vldb.org Language: English - Date: 2009-07-27 10:29:02 Algorithm Logic Applied mathematics Conjunctive normal form Disjunctive normal form Mathematics

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