36 search results - page 6 / 8 » Maxi-Min Margin Machine: Learning Large Margin Classifiers L... |
NPL
2006
14 years 9 months ago
2006
This paper presents a novel dimension reduction algorithm for kernel based classification. In the feature space, the proposed algorithm maximizes the ratio of the squared between-c...
ICPR
2006
IEEE
15 years 10 months ago
2006
IEEE
1 A kernel determines the inductive bias of a learning algorithm on a specific data set, and it is beneficial to design specific kernel for a given data set. In this work, we propo...
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JMLR
2012
13 years 1 days ago
2012
Support Vector Machines, SVMs, and the Large Margin Nearest Neighbor algorithm, LMNN, are two very popular learning algorithms with quite different learning biases. In this paper...
ICRA
2008
IEEE
15 years 4 months ago
2008
IEEE
— Integrating information coming from different sensors is a fundamental capability for autonomous robots. For complex tasks like topological localization, it would be desirable ...
ML
2000
ACM
14 years 9 months ago
2000
ACM
Existing methods for exploiting awed domain theories depend on the use of a su ciently large set of training examples for diagnosing and repairing aws in the theory. In this paper,...