505 search results - page 19 / 101 » Importance weighted active learning |
PAKDD
2011
ACM
12 years 11 months ago
2011
ACM
Discovering rare categories and classifying new instances of them is an important data mining issue in many fields, but fully supervised learning of a rare class classifier is pr...
ICDM
2008
IEEE
14 years 3 months ago
2008
IEEE
Improving predictions of the skin permeability coefficient is a difficult problem. It is also an important issue with the increasing use of skin patches as a means of drug deliv...
COLING
2010
13 years 3 months ago
2010
This paper presents a novel method for acquiring a set of query patterns to retrieve documents containing important information about an entity. Given an existing Wikipedia catego...
IDEAL
2007
Springer
14 years 2 months ago
2007
Springer
We apply learning vector quantization to the analysis of tiling microarray data. As an example we consider the classification of C. elegans genomic probes as intronic or exonic. T...
PERCOM
2007
ACM
14 years 8 months ago
2007
ACM
Abstract. A major challenge in pervasive computing is to learn activity patterns, such as bathing and cleaning from sensor data. Typical sensor deployments generate sparse datasets...