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ALT
2001
Springer
14 years 7 months ago
Learning of Boolean Functions Using Support Vector Machines
This paper concerns the design of a Support Vector Machine (SVM) appropriate for the learning of Boolean functions. This is motivated by the need of a more sophisticated algorithm ...
Ken Sadohara
CEC
2008
IEEE
14 years 5 months ago
Dynamic adaptation and multiobjective concepts in a particle swarm optimizer for constrained optimization
— In this paper, we propose a novel approach to solve constrained optimization problems based on particle swarm optimization (PSO). First, an empirical comparison of the most pop...
Jorge Isacc Flores-Mendoza, Efrén Mezura-Mo...
NIPS
2004
14 years 8 days ago
Worst-Case Analysis of Selective Sampling for Linear-Threshold Algorithms
We provide a worst-case analysis of selective sampling algorithms for learning linear threshold functions. The algorithms considered in this paper are Perceptron-like algorithms, ...
Nicolò Cesa-Bianchi, Claudio Gentile, Luca ...
FOCS
2002
IEEE
14 years 3 months ago
Implicit B-Trees: New Results for the Dictionary Problem
We reopen the issue of finding an implicit data structure for the dictionary problem. In particular, we examine the problem of maintaining Ò data values in the first Ò locatio...
Gianni Franceschini, Roberto Grossi, J. Ian Munro,...
FAST
2007
14 years 10 days ago
Architectures for Controller Based CDP
Continuous Data Protection (CDP) is a recent storage technology which enables reverting the state of the storage to previous points in time. We propose four alternative architectu...
Guy Laden, Paula Ta-Shma, Eitan Yaffe, Michael Fac...