406 search results - page 35 / 82 » Covering Numbers for Support Vector Machines |
ICML
2007
IEEE
16 years 19 days ago
2007
IEEE
Multi-instance learning and semi-supervised learning are different branches of machine learning. The former attempts to learn from a training set consists of labeled bags each con...
ICASSP
2011
IEEE
14 years 3 months ago
2011
IEEE
This paper presents a novel method for reducing the dimensionality of kernel spaces. Recently, to maintain the convexity of training, loglinear models without mixtures have been u...
103
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JMLR
2011
14 years 6 months ago
2011
We develop, analyze, and test a training algorithm for support vector machine classifiers without offset. Key features of this algorithm are a new, statistically motivated stoppi...
ICML
2003
IEEE
16 years 19 days ago
2003
IEEE
We present a fast iterative support vector training algorithm for a large variety of different formulations. It works by incrementally changing a candidate support vector set usin...
163
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Book
"Pattern recognition techniques are concerned with the theory and algorithms of putting abstract objects, e.g., measurements made on physical objects, into categories. Typical...