155 search results - page 17 / 31 » Improving supervised learning performance by using fuzzy clu... |
ICDM
2006
IEEE
14 years 3 months ago
2006
IEEE
Clustering is ill-defined. Unlike supervised learning where labels lead to crisp performance criteria such as accuracy and squared error, clustering quality depends on how the cl...
AI
2004
Springer
13 years 8 months ago
2004
Springer
Feature selection, as a preprocessing step to machine learning, has been very effective in reducing dimensionality, removing irrelevant data, increasing learning accuracy, and imp...
MLMI
2007
Springer
14 years 3 months ago
2007
Springer
Abstract. In [1], we presented a method for automatic detection of action items from natural conversation. This method relies on supervised classification techniques that are trai...
JMLR
2010
13 years 3 months ago
2010
Feature selection for supervised learning can be greatly improved by making use of the fact that features often come in classes. For example, in gene expression data, the genes wh...
KDD
2008
ACM
14 years 9 months ago
2008
ACM
The input to an algorithm that learns a binary classifier normally consists of two sets of examples, where one set consists of positive examples of the concept to be learned, and ...