We consider the problem of boosting the accuracy of weak learning algorithms in the agnostic learning framework of Haussler (1992) and Kearns et al. (1992). Known algorithms for t...
Interconnects based on Networks-on-Chip are an appealing solution to address future microprocessor designs where, very likely, hundreds of cores will be connected on a single chip...
We present the Genetic L-System Programming (GLP) paradigm for evolutionary creation and development of parallel rewrite systems (Lsystems, Lindenmayer-systems) which provide a com...
This paper proposes algorithms for allocation of wavelengths to connections (lightpaths) in optical wavelength division multiplexed networks, predominantly for ring topologies. Th...
Ornan Ori Gerstel, Galen H. Sasaki, Shay Kutten, R...
In this paper, we analyze the fault tolerance of several bounded-degree networks that are commonly used for parallel computation. Among other things, we show that an N-node butterf...
Frank Thomson Leighton, Bruce M. Maggs, Ramesh K. ...