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» A Theory for Memory-Based Learning
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AAAI
1993
14 years 10 months ago
Finding Accurate Frontiers: A Knowledge-Intensive Approach to Relational Learning
learning (EBL) component. In this paper we provide a brief review of FOIL and FOCL, then discuss how operationalizing a domain theory can adversely affect the accuracy of a learned...
Michael J. Pazzani, Clifford Brunk
AI
2007
Springer
14 years 9 months ago
What evolutionary game theory tells us about multiagent learning
This paper discusses If multi-agent learning is the answer, what is the question? [Y. Shoham, R. Powers, T. Grenager, If multiagent learning is the answer, what is the question? A...
Karl Tuyls, Simon Parsons
73
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GECCO
2005
Springer
132views Optimization» more  GECCO 2005»
15 years 3 months ago
A statistical learning theory approach of bloat
Code bloat, the excessive increase of code size, is an important issue in Genetic Programming (GP). This paper proposes a theoretical analysis of code bloat in the framework of sy...
Sylvain Gelly, Olivier Teytaud, Nicolas Bredeche, ...
ILP
2005
Springer
15 years 3 months ago
Online Closure-Based Learning of Relational Theories
Online learning algorithms such as Winnow have received much attention in Machine Learning. Their performance degrades only logarithmically with the input dimension, making them us...
Frédéric Koriche
COLT
2007
Springer
15 years 3 months ago
Property Testing: A Learning Theory Perspective
Property testing deals with tasks where the goal is to distinguish between the case that an object (e.g., function or graph) has a prespecified property (e.g., the function is li...
Dana Ron