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141
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SDM
2008
SIAM
161views Data Mining» more  SDM 2008»
15 years 3 months ago
Efficient Maximum Margin Clustering via Cutting Plane Algorithm
Maximum margin clustering (MMC) is a recently proposed clustering method, which extends the theory of support vector machine to the unsupervised scenario and aims at finding the m...
Bin Zhao, Fei Wang, Changshui Zhang
ICML
2007
IEEE
16 years 2 months ago
Multiclass multiple kernel learning
In many applications it is desirable to learn from several kernels. "Multiple kernel learning" (MKL) allows the practitioner to optimize over linear combinations of kern...
Alexander Zien, Cheng Soon Ong
CSCLP
2007
Springer
15 years 8 months ago
Generalizing Global Constraints Based on Network Flows
Global constraints are used in constraint programming to help users specify patterns that occur frequently in the real world. In addition, global constraints facilitate the use of ...
Igor Razgon, Barry O'Sullivan, Gregory M. Provan
INFORMS
1998
150views more  INFORMS 1998»
15 years 1 months ago
Branch and Infer: A Unifying Framework for Integer and Finite Domain Constraint Programming
constraint abstractions into integer programming, and to discuss possible combinations of the two approaches. Combinatorial problems are ubiquitous in many real world applications ...
Alexander Bockmayr, Thomas Kasper
115
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ENTCS
2002
84views more  ENTCS 2002»
15 years 1 months ago
Programming Autonomous Robots in Curry
In this paper we present a framework to program autonomous robots in the declarative multi-paradigm language Curry. This is an experiment to use high-level declarative programming...
Michael Hanus, Klaus Höppner