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ICML
2004
IEEE
16 years 7 months ago
Kernel conditional random fields: representation and clique selection
Kernel conditional random fields (KCRFs) are introduced as a framework for discriminative modeling of graph-structured data. A representer theorem for conditional graphical models...
John D. Lafferty, Xiaojin Zhu, Yan Liu
CSCLP
2005
Springer
15 years 11 months ago
On Generators of Random Quasigroup Problems
Problems that can be sampled randomly are a good source of test suites for comparing quality of constraint satisfaction techniques. Quasigroup problems are representatives of struc...
Roman Barták
CP
2000
Springer
15 years 9 months ago
Using Randomization and Learning to Solve Hard Real-World Instances of Satisfiability
This paper addresses the interaction between randomization, with restart strategies, and learning, an often crucial technique for proving unsatisfiability. We use instances of SAT ...
Luís Baptista, João P. Marques Silva
FPGA
2008
ACM
191views FPGA» more  FPGA 2008»
15 years 7 months ago
A hardware framework for the fast generation of multiple long-period random number streams
Stochastic simulations and other scientific applications that depend on random numbers are increasingly implemented in a parallelized manner in programmable logic. High-quality ps...
Ishaan L. Dalal, Deian Stefan
IJCAI
1997
15 years 7 months ago
Hidden Gold in Random Generation of SAT Satisfiable Instances
Evaluation of incomplete algorithms that solve SAT requires to generate hard satisfiable instances. For that purpose, the kSAT uniform random generation is not usable. The other g...
Thierry Castell, Michel Cayrol