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ICML
1997
IEEE
16 years 7 months ago
Machine Learning by Function Decomposition
Blaz Zupan, Marko Bohanec, Ivan Bratko, Janez Dems...
ICML
1997
IEEE
16 years 7 months ago
Instance Pruning Techniques
D. Randall Wilson, Tony R. Martinez
ICML
1997
IEEE
16 years 7 months ago
Hierarchical Explanation-Based Reinforcement Learning
Explanation-Based Reinforcement Learning (EBRL) was introduced by Dietterich and Flann as a way of combining the ability of Reinforcement Learning (RL) to learn optimal plans with...
Prasad Tadepalli, Thomas G. Dietterich
ICML
1997
IEEE
16 years 7 months ago
Characterizing the generalization performance of model selection strategies
Abstract: We investigate the structure of model selection problems via the bias/variance decomposition. In particular, we characterize the essential structure of a model selection ...
Dale Schuurmans, Lyle H. Ungar, Dean P. Foster
ICML
1997
IEEE
16 years 7 months ago
Why Experimentation can be better than "Perfect Guidance"
Tobias Scheffer, Russell Greiner, Christian Darken
ICML
1997
IEEE
16 years 7 months ago
Boosting the margin: A new explanation for the effectiveness of voting methods
Robert E. Schapire, Yoav Freund, Peter Barlett, We...
ICML
1997
IEEE
16 years 7 months ago
Predicting Multiprocessor Memory Access Patterns with Learning Models
Machine learning techniques are applicable to computer system optimization. We show that shared memory multiprocessors can successfully utilize machine learning algorithms for mem...
M. F. Sakr, Steven P. Levitan, Donald M. Chiarulli...
ICML
1997
IEEE
16 years 7 months ago
An adaptation of Relief for attribute estimation in regression
Heuristic measures for estimating the quality of attributes mostly assume the independence of attributes so in domains with strong dependencies between attributes their performanc...
Marko Robnik-Sikonja, Igor Kononenko