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» Learning Evaluation Functions for Large Acyclic Domains
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CHI
1999
ACM
14 years 27 days ago
The Hotbox: Efficient Access to a Large Number of Menu-Items
The proliferation of multiple toolbars and UI widgets around the perimeter of application windows is an indication that the traditional GUI design of a single menubar is not suffi...
Gordon Kurtenbach, George W. Fitzmaurice, Russell ...
ML
2002
ACM
154views Machine Learning» more  ML 2002»
13 years 8 months ago
Technical Update: Least-Squares Temporal Difference Learning
TD() is a popular family of algorithms for approximate policy evaluation in large MDPs. TD() works by incrementally updating the value function after each observed transition. It h...
Justin A. Boyan
ISMDA
2003
Springer
14 years 1 months ago
Inductive Learning of Simple Diagnostic Scores
Knowledge acquisition and maintenance in medical domains with a large application domain ontology is a difficult task. To reduce knowledge elicitation costs, semi-automatic learni...
Martin Atzmüller, Joachim Baumeister, Frank P...
MICAI
2005
Springer
14 years 2 months ago
Fuzzeval: A Fuzzy Controller-Based Approach in Adaptive Learning for Backgammon Game
Abstract. In this paper we investigate the effectiveness of applying fuzzy controllers to create strong computer player programs in the domain of backgammon. Fuzzeval, our proposed...
Mikael Heinze, Daniel Ortiz Arroyo, Henrik Legind ...
ILP
2004
Springer
14 years 1 months ago
Learning an Approximation to Inductive Logic Programming Clause Evaluation
One challenge faced by many Inductive Logic Programming (ILP) systems is poor scalability to problems with large search spaces and many examples. Randomized search methods such as ...
Frank DiMaio, Jude W. Shavlik