414 search results - page 23 / 83 » Feature Selection for Classifying High-Dimensional Numerical... |
ALGORITHMICA
2006
14 years 11 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...
123
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UAI
2004
15 years 1 months ago
2004
Suppose that the only available information in a multi-class problem are expert estimates of the conditional probabilities of occurrence for a set of binary features. The aim is t...
ACSC
2005
IEEE
15 years 5 months ago
2005
IEEE
The data mining inspired problem of finding the critical, and most useful features to be used to classify a data set, and construct rules to predict the class of future examples ...
JIPS
2006
14 years 11 months ago
2006
: This paper presents a feature selection technique based on distributional differences for efficient machine learning. Initial training data consists of data including many featur...
105
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CIKM
2009
Springer
15 years 3 months ago
2009
Springer
Feature weighting or selection is a crucial process to identify an important subset of features from a data set. Removing irrelevant or redundant features can improve the generali...