1584 search results - page 232 / 317 » Data selection for support vector machine classifiers |
92
Voted
WSC
1998
15 years 4 months ago
1998
In this paper, we discuss the critical role of simulation input modeling in a successful simulation study. Two pitfalls in simulation input modeling are then presented and we expl...
145
Voted
ICPR
2008
IEEE
16 years 4 months ago
2008
IEEE
We present a distributed machine learning framework based on support vector machines that allows classification problems to be solved iteratively through parallel update algorithm...
118
Voted
ICML
2009
IEEE
16 years 3 months ago
2009
IEEE
Subgroup discovery is the task of identifying the top k patterns in a database with most significant deviation in the distribution of a target attribute Y . Subgroup discovery is ...
112
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ICML
2006
IEEE
16 years 3 months ago
2006
IEEE
Semi-Supervised Support Vector Machines (S3 VMs) are an appealing method for using unlabeled data in classification: their objective function favors decision boundaries which do n...
143
Voted
JMLR
2006
15 years 2 months ago
2006
Kernels are two-placed functions that can be interpreted as inner products in some Hilbert space. It is this property which makes kernels predestinated to carry linear models of l...