3378 search results - page 371 / 676 » Learning in Friedberg Numberings |
179
click to vote
KDD
2006
ACM
16 years 7 months 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...
187
click to vote
KDD
2002
ACM
16 years 7 months ago
2002
ACM
Support vector machines (SVMs) excel at two-class discriminative learning problems. They often outperform generative classifiers, especially those that use inaccurate generative m...
156
click to vote
ALT
2008
Springer
16 years 3 months ago
2008
Springer
In this paper we discuss boosting algorithms that maximize the soft margin of the produced linear combination of base hypotheses. LPBoost is the most straightforward boosting algor...
185
click to vote
IUI
2009
ACM
16 years 3 months ago
2009
ACM
Knowledge workers must manage large numbers of simultaneous, ongoing projects that collectively involve huge numbers of resources (documents, emails, web pages, calendar items, et...
189
click to vote
ICDAR
2009
IEEE
16 years 1 months ago
2009
IEEE
The problem of determining the appropriate number of components is important in finite mixture modeling for pattern classification. This paper considers the application of an unsu...