1344 search results - page 139 / 269 » Learning Classifiers from Semantically Heterogeneous Data |
BMCBI
2007
13 years 10 months ago
2007
Background: High content screening (HCS) is a powerful method for the exploration of cellular signalling and morphology that is rapidly being adopted in cancer research. HCS uses ...
IDEAS
1999
IEEE
14 years 2 months ago
1999
IEEE
Data integration of several sources has gained considerable attentions with the recent popularity of the Web. In the real world, some information may be missing i.e., partial and ...
GECCO
2005
Springer
14 years 3 months ago
2005
Springer
This paper presents a novel approach of applying both positive selection and negative selection to supervised learning for anomaly detection. It first learns the patterns of the n...
ISMB
2001
13 years 11 months ago
2001
Using gene expression data to classify tumor types is a very promising tool in cancer diagnosis. Previous works show several pairs of tumor types can be successfully distinguished...
ACL
2010
13 years 8 months ago
2010
Most supervised language processing systems show a significant drop-off in performance when they are tested on text that comes from a domain significantly different from the domai...