In this paper we analyze the PAC learning abilities of several simple iterative algorithms for learning linear threshold functions, obtaining both positive and negative results. W...
In this article we describe a set of scalable techniques for learning the behavior of a group of agents in a collaborative multiagent setting. As a basis we use the framework of c...
GPGPU is getting more and more important, but when using CUDA-enabled GPUs the special characteristics of NVIDIAs SIMT architecture have to be considered. Particularly, it is not ...
: Numerical function approximation over a Boolean domain is a classical problem with wide application to data modeling tasks and various forms of learning. A great many function ap...
Weaknesses have recently been found in the widely used cryptographic hash functions SHA-1 and MD5. A potential alternative for these algorithms is the Whirlpool hash function, whi...