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» An Auxiliary Variational Method
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JMLR
2006
93views more  JMLR 2006»
15 years 6 months ago
An Efficient Implementation of an Active Set Method for SVMs
We propose an active set algorithm to solve the convex quadratic programming (QP) problem which is the core of the support vector machine (SVM) training. The underlying method is ...
Katya Scheinberg
WWW
2008
ACM
15 years 6 months ago
A Novelty-based Clustering Method for On-line Documents
In this paper, we describe a document clustering method called noveltybased document clustering. This method clusters documents based on similarity and novelty. The method assigns...
Sophoin Khy, Yoshiharu Ishikawa, Hiroyuki Kitagawa
ENTCS
2006
144views more  ENTCS 2006»
15 years 6 months ago
Infinitary Howe's Method
Howe's method is a well-known technique for proving that various kinds of applicative bisimilarity (or similarity) on a functional language are congruences (or precongruences...
Paul Blain Levy
SCIA
2009
Springer
161views Image Analysis» more  SCIA 2009»
16 years 1 months ago
A Fast Optimization Method for Level Set Segmentation
Abstract. Level set methods are a popular way to solve the image segmentation problem in computer image analysis. A contour is implicitly represented by the zero level of a signed ...
Thord Andersson, Gunnar Läthén, Reiner...
GECCO
2006
Springer
208views Optimization» more  GECCO 2006»
15 years 10 months ago
Comparing evolutionary and temporal difference methods in a reinforcement learning domain
Both genetic algorithms (GAs) and temporal difference (TD) methods have proven effective at solving reinforcement learning (RL) problems. However, since few rigorous empirical com...
Matthew E. Taylor, Shimon Whiteson, Peter Stone