1118 search results - page 8 / 224 » Data Mining via Support Vector Machines |
KDD
2005
ACM
15 years 10 months ago
2005
ACM
We propose a simple yet potentially very effective way of visualizing trained support vector machines. Nomograms are an established model visualization technique that can graphica...
KDD
2004
ACM
15 years 3 months ago
2004
ACM
Like many purely data-driven machine learning methods, Support Vector Machine (SVM) classifiers are learned exclusively from the evidence presented in the training dataset; thus ...
102
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ICDM
2007
IEEE
14 years 11 months ago
2007
IEEE
An easily implementable mixed-integer algorithm is proposed that generates a nonlinear kernel support vector machine (SVM) classifier with reduced input space features. A single ...
SDM
2010
SIAM
14 years 11 months ago
2010
SIAM
Obtaining high-quality and up-to-date labeled data can be difficult in many real-world machine learning applications, especially for Internet classification tasks like review spam...
KDD
2005
ACM
15 years 10 months ago
2005
ACM
We describe an algorithm for converting linear support vector machines and any other arbitrary hyperplane-based linear classifiers into a set of non-overlapping rules that, unlike...