976 search results - page 104 / 196 » Training of Support Vector Machines with Mahalanobis Kernels |
174
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AUSAI
2008
Springer
15 years 8 months ago
2008
Springer
Classifiers are traditionally learned using sets of positive and negative training examples. However, often a classifier is required, but for training only an incomplete set of pos...
171
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TCS
2008
15 years 6 months ago
2008
This paper studies a novel paradigm for learning formal languages from positive and negative examples which consists of mapping strings to an appropriate highdimensional feature s...
186
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IJCAI
2007
15 years 7 months ago
2007
Recently, significant progress has been made on learning structured predictors via coordinated training algorithms such as conditional random fields and maximum margin Markov ne...
154
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ICPR
2010
IEEE
15 years 8 months ago
2010
IEEE
Training datasets for object detection problems are typically very large and Support Vector Machine (SVM) implementations are computationally complex. As opposed to these complex ...
169
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CVPR
2003
IEEE
16 years 8 months ago
2003
IEEE
A linear programming technique is introduced that jointly performs feature selection and classifier training so that a subset of features is optimally selected together with the c...