An associative neural network (ASNN) is a combination of an ensemble of the feed-forward neural networks and the K-nearest neighbor technique. The introduced network uses correlation between ensemble ...
An associative neural network (ASNN) is a combination of an ensemble of the feed-forward neural networks and the K-nearest neighbor technique. The introduced network uses correlation between ensemble ...
. We study two random walks on a group of upper triangular matrices. In each case, we give upper bound on the mixing time by using a stopping time technique. Introduction In the past decades there has...
The cluster fixing algorithms are described for the DELPHI microvertex detector. For the few percent of affected clusters a considerable improvement in precision and in the description of their resolu...
. We prove that the product replacement graph on generating k-tuples of a simple group contains a large connected component if k 3. This is related to the recent conjecture of Diaconis and Graham. As ...
Quantum algorithms and circuits can, in principle, outperform the best non-quantum (classical) techniques for some hard computational problems. However, this does not necessarily lead to useful applic...
An exact pattern matching problem is to nd all occurrences of a pattern p in a text t. We say that the pattern matching algorithm is optimal if its running time is linear in the sizes of t and p, i.e....