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
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...
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...
—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...
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...