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SDM
2008
SIAM
117views Data Mining» more  SDM 2008»
15 years 8 months ago
A Feature Selection Algorithm Capable of Handling Extremely Large Data Dimensionality
With the advent of high throughput technologies, feature selection has become increasingly important in a wide range of scientific disciplines. We propose a new feature selection ...
Yijun Sun, Sinisa Todorovic, Steve Goodison
ICCAD
2001
IEEE
124views Hardware» more  ICCAD 2001»
16 years 3 months ago
Partition-Based Decision Heuristics for Image Computation Using SAT and BDDs
Methods based on Boolean satisfiability (SAT) typically use a Conjunctive Normal Form (CNF) representation of the Boolean formula, and exploit the structure of the given problem ...
Aarti Gupta, Zijiang Yang, Pranav Ashar, Lintao Zh...
CORR
2008
Springer
118views Education» more  CORR 2008»
15 years 6 months ago
Correlated Equilibria in Continuous Games: Characterization and Computation
We present several new characterizations of correlated equilibria in games with continuous utility functions. These have the advantage of being more computationally and analytical...
Noah D. Stein, Pablo A. Parrilo, Asuman E. Ozdagla...
CEC
2009
IEEE
15 years 11 months ago
LoCost: A spatial social network algorithm for multi-objective optimisation
—Particle Swarm Optimisation (PSO) is increasingly being applied to optimisation of problems in engineering design and scientific investigation. While readily adapted to singleo...
Andrew Lewis
JIIS
2008
89views more  JIIS 2008»
15 years 6 months ago
A note on phase transitions and computational pitfalls of learning from sequences
An ever greater range of applications call for learning from sequences. Grammar induction is one prominent tool for sequence learning, it is therefore important to know its proper...
Antoine Cornuéjols, Michèle Sebag