1062 search results - page 47 / 213 » Sublinear Optimization for Machine Learning |
92
Voted
ICML
2002
IEEE
16 years 3 months ago
2002
IEEE
We investigate the following problem: Given a set of documents of a particular topic or class ?, and a large set ? of mixed documents that contains documents from class ? and othe...
108
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NCA
2010
IEEE
15 years 17 days ago
2010
IEEE
The Support Vector Machine (SVM) is an interesting classifier with excellent power of generalization. In this paper, we consider applying the SVM to semi-supervised learning. We p...
131
Voted
CORR
2006
Springer
15 years 2 months ago
2006
Springer
Abstract. Support Vector Machines (SVMs) are well-established Machine Learning (ML) algorithms. They rely on the fact that i) linear learning can be formalized as a well-posed opti...
117
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GECCO
2006
Springer
15 years 5 months ago
2006
Springer
Estimation of Distribution Algorithms (EDAs) are a class of evolutionary algorithms that use machine learning techniques to solve optimization problems. Machine learning is used t...
112
Voted
ALT
2008
Springer
15 years 11 months ago
2008
Springer
Gold’s original paper on inductive inference introduced a notion of an optimal learner. Intuitively, a learner identifies a class of objects optimally iff there is no other lea...