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» Learning complex problem solving expertise from failures
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AAAI
2004
13 years 9 months ago
Learning and Applying Competitive Strategies
Learning reusable sequences can support the development of expertise in many domains, either by improving decisionmaking quality or decreasing execution speed. This paper introduc...
Esther Lock, Susan L. Epstein
ICC
2011
IEEE
201views Communications» more  ICC 2011»
12 years 7 months ago
Survivable Optical Grid Dimensioning: Anycast Routing with Server and Network Failure Protection
Abstract—Grids can efficiently deal with challenging computational and data processing tasks which cutting edge science is generating today. So-called e-Science grids cope with ...
Chris Develder, Jens Buysse, Ali Shaikh, Brigitte ...
ICTAI
2009
IEEE
13 years 5 months ago
A Generalized Cyclic-Clustering Approach for Solving Structured CSPs
We propose a new method for solving structured CSPs which generalizes and improves the Cyclic-Clustering approach [4]. First, the cutset and the tree-decomposition of the constrai...
Cédric Pinto, Cyril Terrioux
FSKD
2008
Springer
174views Fuzzy Logic» more  FSKD 2008»
13 years 8 months ago
A Hybrid Re-sampling Method for SVM Learning from Imbalanced Data Sets
Support Vector Machine (SVM) has been widely studied and shown success in many application fields. However, the performance of SVM drops significantly when it is applied to the pr...
Peng Li, Pei-Li Qiao, Yuan-Chao Liu
CORR
2012
Springer
170views Education» more  CORR 2012»
12 years 3 months ago
What Cannot be Learned with Bethe Approximations
We address the problem of learning the parameters in graphical models when inference is intractable. A common strategy in this case is to replace the partition function with its B...
Uri Heinemann, Amir Globerson