690 search results - page 46 / 138 » SVMC: Single-Class Classification With Support Vector Machin... |
137
Voted
EMNLP
2009
15 years 1 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. ...
112
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DCC
2009
IEEE
16 years 4 months ago
2009
IEEE
Kernel machines are a popular class of machine learning algorithms that achieve state of the art accuracies on many real-life classification problems. Kernel perceptrons are among...
120
Voted
ICASSP
2007
IEEE
15 years 10 months ago
2007
IEEE
The impact of image feature locations in the bag-of-words model for object classification is examined. It is demonstrated that a simple variance-based method works well and offer...
135
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JMLR
2002
15 years 3 months ago
2002
When constructing a classifier, the probability of correct classification of future data points should be maximized. We consider a binary classification problem where the mean and...
139
Voted
KDD
2006
ACM
16 years 4 months ago
2006
ACM
Linear Support Vector Machines (SVMs) have become one of the most prominent machine learning techniques for highdimensional sparse data commonly encountered in applications like t...