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PDPTA
2003
13 years 9 months ago
A Universal Parallel SAT Checking Kernel
We present a novel approach to parallel Boolean satisfiability (SAT) checking. A distinctive feature of our parallel SAT checker is that it incorporates all essential heuristics ...
Wolfgang Blochinger, Carsten Sinz, Wolfgang Kü...
ICML
2009
IEEE
14 years 8 months ago
SimpleNPKL: simple non-parametric kernel learning
Previous studies of Non-Parametric Kernel (NPK) learning usually reduce to solving some Semi-Definite Programming (SDP) problem by a standard SDP solver. However, time complexity ...
Jinfeng Zhuang, Ivor W. Tsang, Steven C. H. Hoi
PPDP
2010
Springer
13 years 6 months ago
A declarative approach to robust weighted Max-SAT
The presence of uncertainty in the real world makes robustness to be a desired property of solutions to constraint satisfaction problems. Roughly speaking, a solution is robust if...
Miquel Bofill, Dídac Busquets, Mateu Villar...
ACMSE
2009
ACM
14 years 2 months ago
FI-based file access predictor
An algorithm is proposed for the purpose of optimizing the availability of files to an operating system prior to their being required during execution by a running system. This al...
Jinsuk Baek, Paul S. Fisher, Mingyung Kwak
JMLR
2006
108views more  JMLR 2006»
13 years 7 months ago
The Interplay of Optimization and Machine Learning Research
The fields of machine learning and mathematical programming are increasingly intertwined. Optimization problems lie at the heart of most machine learning approaches. The Special T...
Kristin P. Bennett, Emilio Parrado-Hernánde...