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197
Voted
ICML
2009
IEEE
16 years 8 months ago
2009
IEEE
This paper addresses feature selection techniques for classification of high dimensional data, such as those produced by microarray experiments. Some prior knowledge may be availa...
184
Voted
ICML
2003
IEEE
16 years 8 months ago
2003
IEEE
In the standard feature selection problem, we are given a fixed set of candidate features for use in a learning problem, and must select a subset that will be used to train a mode...
177
Voted
WMTE
2006
IEEE
16 years 1 months ago
2006
IEEE
Practitioners interested in integrating mobile technology effectively into distance learning programs need to consider both the benefits and limitations of such devices. This pape...
200
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ICAIL
2005
ACM
16 years 26 days ago
2005
ACM
We describe a set of experiments using machine learning techniques for the task of extractive summarisation. The research is part of a summarisation project for which we use a cor...
206
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GECCO
2005
Springer
16 years 24 days ago
2005
Springer
XCS is a stochastic algorithm, so it does not guarantee to produce the same results when run with the same input. When interpretability matters, obtaining a single, stable result ...