450 search results - page 39 / 90 » On-line support vector machines and optimization strategies |
102
Voted
PKDD
2009
Springer
15 years 7 months ago
2009
Springer
A serious drawback of kernel methods, and Support Vector Machines (SVM) in particular, is the difficulty in choosing a suitable kernel function for a given dataset. One of the appr...
111
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KDD
2006
ACM
16 years 29 days ago
2006
ACM
Linear Support Vector Machines (SVMs) have become one of the most prominent machine learning techniques for highdimensional sparse data commonly encountered in applications like t...
102
Voted
ICADL
2005
Springer
15 years 6 months ago
2005
Springer
Users of a digital book library system typically interact with the system to search for books by querying on the metadata describing the books or to search for information in the p...
82
Voted
CEC
2007
IEEE
15 years 4 months ago
2007
IEEE
This paper proposes a novel hybrid GA/SVM method that can predict the interactions between proteins intermediated by the protein-domain relations. Firstly, we represented a protein...
106
Voted
CONEXT
2007
ACM
15 years 2 months ago
2007
ACM
Network intrusion detection systems typically detect worms by examining packet or flow logs for known signatures. Not only does this approach mean worms cannot be detected until ...