Abstract— We present in this paper an analytical model for the calculation of network load and drop probabilities in a TCP/IP network with general topology. First we formulate ou...
Eitan Altman, Konstantin Avrachenkov, Chadi Baraka...
We present a scalable, high-performance solution to multidimensional recurrences that arise in adaptive statistical designs. Adaptive designs are an important class of learning al...
Robert H. Oehmke, Janis Hardwick, Quentin F. Stout
This paper presents an efficient statistical design methodology that allows simultaneous sizing for performance and optimization for yield and robustness of analog circuits. The s...
CAFE ("Conditional Access for Europe") is an ongoing project in the European Community's ESPRIT program. The goal of CAFE is to develop innovative systems for condit...
Jean-Paul Boly, Antoon Bosselaers, Ronald Cramer, ...
We propose a new evolutionary method of extracting user preferences from examples shown to an automatic graph layout system. Using stochastic methods such as simulated annealing a...