1989 search results - page 265 / 398 » Learning to Select Useful Landmarks |
206
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KDD
2007
ACM
16 years 6 months ago
2007
ACM
A good distance metric is crucial for many data mining tasks. To learn a metric in the unsupervised setting, most metric learning algorithms project observed data to a lowdimensio...
158
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GECCO
2006
Springer
15 years 10 months ago
2006
Springer
Various methods for ensemble selection and classifier combination have been designed to optimize the results of ensembles of classifiers. Genetic algorithm (GA) which uses the div...
165
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JMLR
2006
15 years 6 months ago
2006
An ensemble is a group of learning models that jointly solve a problem. However, the ensembles generated by existing techniques are sometimes unnecessarily large, which can lead t...
215
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CCECE
2006
IEEE
16 years 10 days ago
2006
IEEE
Presenting information to an e-learning environment is a challenge, mostly, because ofthe hypertextlhypermedia nature and the richness ofthe context and information provides. This...
171
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WWW
2008
ACM
16 years 7 months ago
2008
ACM
This paper is concerned with the problem of Imbalanced Classification (IC) in web mining, which often arises on the web due to the "Matthew Effect". As web IC applicatio...