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» Collaborative Learning for Constraint Solving
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CORR
2012
Springer
185views Education» more  CORR 2012»
13 years 7 months ago
Bayesian network learning with cutting planes
The problem of learning the structure of Bayesian networks from complete discrete data with a limit on parent set size is considered. Learning is cast explicitly as an optimisatio...
James Cussens
AIR
2004
111views more  AIR 2004»
14 years 11 months ago
Towards Fast Vickrey Pricing using Constraint Programming
Ensuring truthfulness amongst self-interested agents bidding against one another in an auction can be computationally expensive when prices are determined using the Vickrey-Clarke-...
Alan Holland, Barry O'Sullivan
94
Voted
ICML
2005
IEEE
16 years 17 days ago
Building Sparse Large Margin Classifiers
This paper presents an approach to build Sparse Large Margin Classifiers (SLMC) by adding one more constraint to the standard Support Vector Machine (SVM) training problem. The ad...
Bernhard Schölkopf, Gökhan H. Bakir, Min...
WIAS
2008
128views more  WIAS 2008»
14 years 11 months ago
Considering operational issues for multiagent conceptual inferencing in a distributed information retrieval application
Our system, based on a multiagent framework called collaborative understanding of distributed knowledge (CUDK), is designed with the overall goal of balancing agents' conceptu...
Leen-Kiat Soh
ICASSP
2011
IEEE
14 years 3 months ago
Collaborative sources identification in mixed signals via hierarchical sparse modeling
A collaborative framework for detecting the different sources in mixed signals is presented in this paper. The approach is based on CHiLasso, a convex collaborative hierarchical s...
Pablo Sprechmann, Ignacio Ramírez, Pablo Ca...