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STOC
2003
ACM
122views Algorithms» more  STOC 2003»
14 years 8 months ago
Learning juntas
We consider a fundamental problem in computational learning theory: learning an arbitrary Boolean function which depends on an unknown set of k out of n Boolean variables. We give...
Elchanan Mossel, Ryan O'Donnell, Rocco A. Servedio
DCC
2008
IEEE
14 years 7 months ago
Partial ovoids and partial spreads in hermitian polar spaces
We present improved lower bounds on the sizes of small maximal partial ovoids in the classical hermitian polar spaces, and improved upper bounds on the sizes of large maximal part...
Jan De Beule, Andreas Klein, Klaus Metsch, Leo Sto...
ISW
2009
Springer
14 years 2 months ago
On Free-Start Collisions and Collisions for TIB3
In this paper, we present free-start collisions for the TIB3 hash function with a complexity of about 232 compression function evaluations. By using message modification technique...
Florian Mendel, Martin Schläffer
IWANN
2009
Springer
14 years 2 months ago
TEMMAS: The Electricity Market Multi-Agent Simulator
—This paper describes a multi-agent based simulation (MABS) framework to construct an artificial electric power market populated with learning agents. The artificial market, na...
Paulo Trigo, Paulo Marques, Helder Coelho
SAT
2009
Springer
119views Hardware» more  SAT 2009»
14 years 2 months ago
Backdoors in the Context of Learning
The concept of backdoor variables has been introduced as a structural property of combinatorial problems that provides insight into the surprising ability of modern satisfiability...
Bistra N. Dilkina, Carla P. Gomes, Ashish Sabharwa...