148 search results - page 17 / 30 » Context-Based Distance Learning for Categorical Data Cluster... |
102
Voted
FLAIRS
2006
15 years 1 months ago
2006
Text categorization involves mapping of documents to a fixed set of labels. A similar but equally important problem is that of assigning labels to large corpora. With a deluge of ...
146
Voted
DAGM
2011
Springer
14 years 5 days ago
2011
Springer
Many unsupervised learning algorithms make use of kernels that rely on the Euclidean distance between two samples. However, the Euclidean distance is optimal for Gaussian distribut...
122
Voted
TNN
2010
14 years 7 months ago
2010
Statistical learning methods are emerging as a valuable tool for decoding information from neural imaging data. The noisy signal and the limited number of training patterns that ar...
103
Voted
BMCBI
2007
15 years 15 days ago
2007
Background: Clustering methods are widely used on gene expression data to categorize genes with similar expression profiles. Finding an appropriate (dis)similarity measure is crit...
127
Voted
JMLR
2008
15 years 10 days ago
2008
Efficient and expressive comparison of sequences is an essential procedure for learning with sequential data. In this article we propose a generic framework for computation of sim...