990 search results - page 86 / 198 » Evolving kernels for support vector machine classification |
141
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NIPS
2000
15 years 5 months ago
2000
We present an improvement of Noviko 's perceptron convergence theorem. Reinterpreting this mistakebound as a margindependent sparsity guarantee allows us to give a PAC{style ...
NIPS
2008
15 years 5 months ago
2008
In classification problems, Support Vector Machines maximize the margin of separation between two classes. While the paradigm has been successful, the solution obtained by SVMs is...
131
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ICML
2006
IEEE
16 years 5 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...
145
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IJCNN
2006
IEEE
15 years 10 months ago
2006
IEEE
— The ability to identify protein binding sites and to detect specific amino acid residues that contribute to the specificity and affinity of protein interactions has importan...
183
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ESANN
2006
15 years 5 months ago
2006
Random Forests were introduced by Breiman for feature (variable) selection and improved predictions for decision tree models. The resulting model is often superior to AdaBoost and ...