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» Generalized Posynomial Performance Modeling
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126
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IJCNN
2006
IEEE
15 years 8 months ago
A Heuristic for Free Parameter Optimization with Support Vector Machines
— A heuristic is proposed to address free parameter selection for Support Vector Machines, with the goals of improving generalization performance and providing greater insensitiv...
Matthew Boardman, Thomas P. Trappenberg
119
Voted
SAC
2006
ACM
15 years 8 months ago
Light stemming approaches for the French, Portuguese, German and Hungarian languages
This paper describes and evaluates various general stemming approaches for the French, Portuguese (Brazilian), German and Hungarian languages. Based on the CLEF test-collections, ...
Jacques Savoy
136
Voted
UAI
2008
15 years 4 months ago
Projected Subgradient Methods for Learning Sparse Gaussians
Gaussian Markov random fields (GMRFs) are useful in a broad range of applications. In this paper we tackle the problem of learning a sparse GMRF in a high-dimensional space. Our a...
John Duchi, Stephen Gould, Daphne Koller
WISER
2004
ACM
15 years 8 months ago
Effective work practices for software engineering: free/libre open source software development
We review the literature on Free/Libre Open Source Software (FLOSS) development and on software development, distributed work and teams more generally to develop a theoretical mod...
Kevin Crowston, Hala Annabi, James Howison, Chenge...
SPAA
2003
ACM
15 years 8 months ago
The complexity of verifying memory coherence
The general problem of verifying coherence for shared-memory multiprocessor executions is NP-Complete. Verifying memory consistency models is therefore NP-Hard, because memory con...
Jason F. Cantin, Mikko H. Lipasti, James E. Smith