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NIPS
2001
13 years 11 months ago
Active Learning in the Drug Discovery Process
We investigate the following data mining problem from Computational Chemistry: From a large data set of compounds, find those that bind to a target molecule in as few iterations o...
Manfred K. Warmuth, Gunnar Rätsch, Michael Ma...
SDM
2010
SIAM
191views Data Mining» more  SDM 2010»
13 years 11 months ago
Active Ordering of Interactive Prediction Tasks
Many applications involve a set of prediction tasks that must be accomplished sequentially through user interaction. If the tasks are interdependent, the order in which they are p...
Abhimanyu Lad, Yiming Yang
ESEM
2007
ACM
13 years 12 months ago
Mining Software Evolution to Predict Refactoring
Can we predict locations of future refactoring based on the development history? In an empirical study of open source projects we found that attributes of software evolution data ...
Jacek Ratzinger, Thomas Sigmund, Peter Vorburger, ...
KDD
2002
ACM
171views Data Mining» more  KDD 2002»
14 years 10 months ago
Mining complex models from arbitrarily large databases in constant time
In this paper we propose a scaling-up method that is applicable to essentially any induction algorithm based on discrete search. The result of applying the method to an algorithm ...
Geoff Hulten, Pedro Domingos
HICSS
2007
IEEE
130views Biometrics» more  HICSS 2007»
14 years 4 months ago
Analysis of Activity in the Open Source Software Development Community
— Open Source Software is computer software for which the source code is publicly open for inspection, modification, and redistribution. While research of a few, large, successf...
Scott Christley, Gregory R. Madey