506 search results - page 18 / 102 » Feature Selection for the Classification of Large Document C... |
CIKM
2010
Springer
14 years 8 months ago
2010
Springer
Indexes for large collections are often divided into shards that are distributed across multiple computers and searched in parallel to provide rapid interactive search. Typically,...
CIARP
2006
Springer
15 years 1 months ago
2006
Springer
Feature selection is a critical procedure in many pattern recognition applications. There are two distinct mechanisms for feature selection namely the wrapper methods and the filte...
ALGORITHMICA
2006
14 years 9 months ago
2006
Classification is a key problem in machine learning/data mining. Algorithms for classification have the ability to predict the class of a new instance after having been trained on...
JMLR
2010
14 years 4 months ago
2010
L1 (also referred to as the 1-norm or Lasso) penalty based formulations have been shown to be effective in problem domains when noisy features are present. However, the L1 penalty...
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SAC
2006
ACM
15 years 3 months ago
2006
ACM
In this paper we propose PARTfs which adopts a supervised machine learning algorithm, namely partial decision trees, as a method for feature subset selection. In particular, it is...