5603 search results - page 122 / 1121 » Feature Selection for Clustering |
157
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ICML
2010
IEEE
15 years 5 months ago
2010
IEEE
Approximate dynamic programming has been used successfully in a large variety of domains, but it relies on a small set of provided approximation features to calculate solutions re...
184
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ESANN
2006
15 years 5 months ago
2006
Random Forests were introduced by Breiman for feature (variable) selection and improved predictions for decision tree models. The resulting model is often superior to AdaBoost and ...
133
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SIGIR
2009
ACM
15 years 11 months ago
2009
ACM
Most existing automatic taxonomy induction systems exploit one or more features to induce a taxonomy; nevertheless there is no systematic study examining which are the best featur...
140
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ICML
1998
IEEE
16 years 5 months ago
1998
IEEE
Computational comparison is made between two feature selection approaches for nding a separating plane that discriminates between two point sets in an n-dimensional feature space ...
159
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SPLC
2010
15 years 2 months ago
2010
Product line engineering allows for the rapid development of variants of a domain specific application by using a common set of reusable assets often known as core assets. Variabil...