688 search results - page 12 / 138 » Identifying Clusters from Positive Data |
GECCO
2005
Springer
15 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...
VTC
2006
IEEE
15 years 3 months ago
2006
IEEE
— We present a solution to the problem of identifying clusters from MIMO measurement data in a data window, with a minimum of user interaction. Conventionally, visual inspection ...
TKDE
2008
14 years 9 months ago
2008
Clustering is a popular technique for analyzing microarray data sets, with n genes and m experimental conditions. As explored by biologists, there is a real need to identify coregu...
ACL
1997
14 years 10 months ago
1997
We identify and validate from a large corpus constraints from conjunctions on the positive or negative semantic orientation of the conjoined adjectives. A log-linear regression mo...
ADMA
2009
Springer
15 years 18 days ago
2009
Springer
Consider a scenario in which a smart phone automatically saves the user’s positional records for personalized location-based applications. The smart phone will infer patterns of ...