AI
2002
Springer
13 years 4 months ago
2002
Springer
Most classification algorithms are "passive", in that they assign a class label to each instance based only on the description given, even if that description is incompl...
AIR
2006
13 years 4 months ago
2006
Abstract Supervised classification is one of the tasks most frequently carried out by socalled Intelligent Systems. Thus, a large number of techniques have been developed based on ...
AMC
2007
13 years 4 months ago
2007
When correlating the samples with the corresponding class labels, canonical correlation analysis (CCA) can be used for supervised feature extraction and subsequent classification...
KDD
1997
ACM
13 years 8 months ago
1997
ACM
Feature selection is a data preprocessing step for classi cation and data mining tasks. Traditionally, feature selection is done by selecting a minimum number of features that det...
ECML
2003
Springer
13 years 9 months ago
2003
Springer
In traditional multi-instance (MI) learning, a single positive instance in a bag produces a positive class label. Hence, the learner knows how the bag’s class label depends on th...
SAC
2004
ACM
13 years 10 months ago
2004
ACM
The importance of text mining stems from the availability of huge volumes of text databases holding a wealth of valuable information that needs to be mined. Text categorization is...
CVPR
2007
IEEE
14 years 6 months ago
2007
IEEE
Many problems in vision involve the prediction of a class label for each frame in an unsegmented sequence. In this paper, we develop a discriminative framework for simultaneous se...