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NIPS
2001
14 years 8 days 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...
COLT
2007
Springer
14 years 5 months ago
Occam's Hammer
Abstract. We establish a generic theoretical tool to construct probabilistic bounds for algorithms where the output is a subset of objects from an initial pool of candidates (or mo...
Gilles Blanchard, François Fleuret
OOPSLA
2007
Springer
14 years 5 months ago
From developer's head to developer tests: characterization, theories, and preventing one more bug
Unit testing frameworks like JUnit are a popular and effective way to prevent developer bugs. We are investigating two ways of building on these frameworks to prevent more bugs wi...
David Saff
GECCO
2003
Springer
130views Optimization» more  GECCO 2003»
14 years 4 months ago
Extracting Test Sequences from a Markov Software Usage Model by ACO
The aim of the paper is to investigate methods for deriving a suitable set of test paths for a software system. The design and the possible uses of the software system are modelled...
Karl Doerner, Walter J. Gutjahr
ICASSP
2010
IEEE
13 years 11 months ago
Weakly supervised learning with decision trees applied to fisheries acoustics
This paper addresses the training of classification trees for weakly labelled data. We call ”weakly labelled data”, a training set such as the prior labelling information pro...
Riwal Lefort, Ronan Fablet, Jean-Marc Boucher