657 search results - page 78 / 132 » Scaling-Up Support Vector Machines Using Boosting Algorithm |
116
Voted
ICML
2006
IEEE
16 years 3 months ago
2006
IEEE
The power and popularity of kernel methods stem in part from their ability to handle diverse forms of structured inputs, including vectors, graphs and strings. Recently, several m...
103
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ICML
2007
IEEE
16 years 3 months ago
2007
IEEE
An efficient and general multiple kernel learning (MKL) algorithm has been recently proposed by Sonnenburg et al. (2006). This approach has opened new perspectives since it makes ...
116
click to vote
ICML
2005
IEEE
16 years 3 months ago
2005
IEEE
We empirically study the relationship between supervised and multiple instance (MI) learning. Algorithms to learn various concepts have been adapted to the MI representation. Howe...
123
Voted
DAGM
2004
Springer
15 years 7 months ago
2004
Springer
We consider the general problem of learning from labeled and unlabeled data. Given a set of points, some of them are labeled, and the remaining points are unlabeled. The goal is to...
129
Voted
CVPR
2008
IEEE
16 years 4 months ago
2008
IEEE
We introduce a distributed algorithm for solving large scale Support Vector Machines (SVM) problems. The algorithm divides the training set into a number of processing nodes each ...