The Processor Configuration Problem (PCP) is a Constraint Optimization Problem. The task is to link up a finite set of processors into a network, while minimizing the maximum dist...
Learning during backtrack search is a space-intensive process that records information (such as additional constraints) in order to avoid redundant work. In this paper, we analyze...
Patrolling environments by means of autonomous mobile robots has received an increasing attention in the last few years. The interest of the agent community is mainly in the develo...
Nicola Basilico, Nicola Gatti, Thomas Rossi, Sofia...
Abstract--Multichannel fast QR decomposition RLS (MCFQRD-RLS) algorithms are well known for their good numerical properties and low computational complexity. The main limitation is...
Recently, a number of researchers have proposed spectral algorithms for learning models of dynamical systems—for example, Hidden Markov Models (HMMs), Partially Observable Marko...