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» Learning the Ideal Evaluation Function
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107
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AI
2002
Springer
15 years 27 days ago
Improving heuristic mini-max search by supervised learning
This article surveys three techniques for enhancing heuristic game-tree search pioneered in the author's Othello program Logistello, which dominated the computer Othello scen...
Michael Buro
109
Voted
BMCBI
2006
128views more  BMCBI 2006»
15 years 1 months ago
Comparative assessment of performance and genome dependence among phylogenetic profiling methods
Background: The rapidly increasing speed with which genome sequence data can be generated will be accompanied by an exponential increase in the number of sequenced eukaryotes. Wit...
Evan S. Snitkin, Adam M. Gustafson, Joseph C. Mell...
126
Voted
DAGSTUHL
1996
15 years 2 months ago
What Not to Do When Writing an Interpreter for Specialisation
A partial evaluator, given a program and a known "static" part of its input data, outputs a specialised or residual program in which computations depending only on the st...
Neil D. Jones
111
Voted
AIIDE
2006
15 years 2 months ago
The Self Organization of Context for Learning in MultiAgent Games
Reinforcement learning is an effective machine learning paradigm in domains represented by compact and discrete state-action spaces. In high-dimensional and continuous domains, ti...
Christopher D. White, Dave Brogan
LWA
2007
15 years 2 months ago
Parameter Learning for a Readability Checking Tool
This paper describes the application of machine learning methods to determine parameters for DeLite, a readability checking tool. DeLite pinpoints text segments that are difficul...
Tim vor der Brück, Johannes Leveling