3413 search results - page 166 / 683 » New Support Vector Algorithms |
180
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TKDE
2008
15 years 6 months ago
2008
We present a method for explaining predictions for individual instances. The presented approach is general and can be used with all classification models that output probabilities...
207
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EMNLP
2009
15 years 4 months ago
2009
We present a framework to extract the most important features (tree fragments) from a Tree Kernel (TK) space according to their importance in the target kernelbased machine, e.g. ...
192
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ICMLA
2009
15 years 4 months ago
2009
In structured prediction problems, outputs are not confined to binary labels; they are often complex objects such as sequences, trees, or alignments. Support Vector Machine (SVM) ...
226
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CLEF
2011
Springer
14 years 6 months ago
2011
Springer
Author identification models fall into two major categories according to the way they handle the training texts: profile-based models produce one representation per author while in...
230
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JMLR
2012
13 years 9 months ago
2012
We develop a high dimensional nonparametric classification method named sparse additive machine (SAM), which can be viewed as a functional version of support vector machine (SVM)...