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» Constraint Programming for Data Mining and Machine Learning
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KDD
2002
ACM
108views Data Mining» more  KDD 2002»
16 years 2 months ago
Incremental Machine Learning to Reduce Biochemistry Lab Costs in the Search for Drug Discovery
This paper promotes the use of supervised machine learning in laboratory settings where chemists have a large number of samples to test for some property, and are interested in id...
George Forman
KDD
2003
ACM
127views Data Mining» more  KDD 2003»
16 years 2 months ago
Experiments with random projections for machine learning
Dimensionality reduction via Random Projections has attracted considerable attention in recent years. The approach has interesting theoretical underpinnings and offers computation...
Dmitriy Fradkin, David Madigan
CSCLP
2004
Springer
15 years 7 months ago
A Note on Bilattices and Open Constraint Programming
Abstract. We propose to use bilattice as a constraint valuation structure in order to represent truth and belief at the same time. A bilattice is a set which owns two lattices orde...
Arnaud Lallouet
110
Voted
PAKDD
2009
ACM
96views Data Mining» more  PAKDD 2009»
15 years 8 months ago
Aggregated Subset Mining
The usual data mining setting uses the full amount of data to derive patterns for different purposes. Taking cues from machine learning techniques, we explore ways to divide the d...
Albrecht Zimmermann, Björn Bringmann
ICDM
2008
IEEE
120views Data Mining» more  ICDM 2008»
15 years 8 months ago
Prediction of Skin Penetration Using Machine Learning Methods
Improving predictions of the skin permeability coefficient is a difficult problem. It is also an important issue with the increasing use of skin patches as a means of drug deliv...
Yi Sun, Gary P. Moss, Maria Prapopoulou, Rod Adams...