2209 search results - page 74 / 442 » Relation Extraction Using Support Vector Machine |
132
Voted
CDC
2009
IEEE
15 years 3 months ago
2009
IEEE
Classification problems in critical applications such as health care or security often require very high reliability because of the high costs of errors. In order to achieve this r...
130
Voted
JMLR
2008
15 years 2 months ago
2008
Linear support vector machines (SVM) are useful for classifying large-scale sparse data. Problems with sparse features are common in applications such as document classification a...
141
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ICML
2007
IEEE
16 years 3 months ago
2007
IEEE
The choice of the kernel function which determines the mapping between the input space and the feature space is of crucial importance to kernel methods. The past few years have se...
97
Voted
ICML
2008
IEEE
16 years 3 months ago
2008
IEEE
We propose a new stopping condition for a Support Vector Machine (SVM) solver which precisely reflects the objective of the Leave-OneOut error computation. The stopping condition ...
122
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ICML
2004
IEEE
16 years 3 months ago
2004
IEEE
The goal of feature induction is to automatically create nonlinear combinations of existing features as additional input features to improve classification accuracy. Typically, no...