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ICDM
2002
IEEE
70views Data Mining» more  ICDM 2002»
15 years 11 months ago
Progressive Modeling
Presently, inductive learning is still performed in a frustrating batch process. The user has little interaction with the system and no control over the final accuracy and traini...
Wei Fan, Haixun Wang, Philip S. Yu, Shaw-hwa Lo, S...
ICTAI
1993
IEEE
15 years 10 months ago
Robust Feature Selection Algorithms
Selecting a set of features which is optimal for a given task is a problem which plays an important role in a wide variety of contexts including pattern recognition, adaptive cont...
Haleh Vafaie, Kenneth DeJong
ICML
1994
IEEE
15 years 10 months ago
Combining Top-down and Bottom-up Techniques in Inductive Logic Programming
This paper describes a new methodfor inducing logic programs from examples which attempts to integrate the best aspects of existingILP methodsintoa singlecoherent framework. In pa...
John M. Zelle, Raymond J. Mooney, Joshua B. Konvis...
AAAI
2008
15 years 8 months ago
Simulation-Based Approach to General Game Playing
The aim of General Game Playing (GGP) is to create intelligent agents that automatically learn how to play many different games at an expert level without any human intervention. ...
Hilmar Finnsson, Yngvi Björnsson
FLAIRS
2008
15 years 8 months ago
Reinforcement of Local Pattern Cases for Playing Tetris
In the paper, we investigate the use of reinforcement learning in CBR for estimating and managing a legacy case base for playing the game of Tetris. Each case corresponds to a loc...
Houcine Romdhane, Luc Lamontagne