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» Sparse Optimization for Second Order Kernel Methods
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AI
2008
Springer
13 years 5 months ago
Solving quantified constraint satisfaction problems
We make a number of contributions to the study of the Quantified Constraint Satisfaction Problem (QCSP). The QCSP is an extension of the constraint satisfaction problem that can b...
Ian P. Gent, Peter Nightingale, Andrew G. D. Rowle...
JMLR
2008
168views more  JMLR 2008»
13 years 5 months ago
Max-margin Classification of Data with Absent Features
We consider the problem of learning classifiers in structured domains, where some objects have a subset of features that are inherently absent due to complex relationships between...
Gal Chechik, Geremy Heitz, Gal Elidan, Pieter Abbe...
RTSS
2003
IEEE
13 years 11 months ago
Data Caches in Multitasking Hard Real-Time Systems
Data caches are essential in modern processors, bridging the widening gap between main memory and processor speeds. However, they yield very complex performance models, which make...
Xavier Vera, Björn Lisper, Jingling Xue
SAGT
2010
Springer
160views Game Theory» more  SAGT 2010»
13 years 4 months ago
How Do You Like Your Equilibrium Selection Problems? Hard, or Very Hard?
The PPAD-completeness of Nash equilibrium computation is taken as evidence that the problem is computationally hard in the worst case. This evidence is necessarily rather weak, in ...
Paul W. Goldberg
TVCG
2011
188views more  TVCG 2011»
13 years 20 days ago
Data-Parallel Octrees for Surface Reconstruction
—We present the first parallel surface reconstruction algorithm that runs entirely on the GPU. Like existing implicit surface reconstruction methods, our algorithm first builds...
Kun Zhou, Minmin Gong, Xin Huang, Baining Guo