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» Iterative Learning of Weighted Rule Sets for Greedy Search
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ROCAI
2004
Springer
13 years 10 months ago
Learning Mixtures of Localized Rules by Maximizing the Area Under the ROC Curve
We introduce a model class for statistical learning which is based on mixtures of propositional rules. In our mixture model, the weight of a rule is not uniform over the entire ins...
Tobias Sing, Niko Beerenwinkel, Thomas Lengauer
CPAIOR
2009
Springer
13 years 11 months ago
Modelling Search Strategies in Rules2CP
In this abstract, we present a rule-based modelling language for constraint programming, called Rules2CP [1], and a library PKML for modelling packing problems. Unlike other modell...
François Fages, Julien Martin
GECCO
2004
Springer
107views Optimization» more  GECCO 2004»
13 years 10 months ago
Multiple Species Weighted Voting - A Genetics-Based Machine Learning System
Multiple Species Weighted Voting (MSWV) is a genetics-based machine learning (GBML) system with relatively few parameters that combines N two-class classifiers into an N -class cla...
Alexander F. Tulai, Franz Oppacher
WWW
2010
ACM
13 years 11 months ago
A pattern tree-based approach to learning URL normalization rules
Duplicate URLs have brought serious troubles to the whole pipeline of a search engine, from crawling, indexing, to result serving. URL normalization is to transform duplicate URLs...
Tao Lei, Rui Cai, Jiang-Ming Yang, Yan Ke, Xiaodon...
NIPS
1998
13 years 6 months ago
Gradient Descent for General Reinforcement Learning
A simple learning rule is derived, the VAPS algorithm, which can be instantiated to generate a wide range of new reinforcementlearning algorithms. These algorithms solve a number ...
Leemon C. Baird III, Andrew W. Moore