414 search results - page 23 / 83 » Feature Selection for Classifying High-Dimensional Numerical... |
ALGORITHMICA
2006
13 years 7 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...
UAI
2004
13 years 8 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
14 years 1 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
13 years 7 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...
CIKM
2009
Springer
13 years 11 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...