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DAGSTUHL
2007
15 years 8 months ago
Sampling-based Approximation Algorithms for Multi-stage Stochastic Optimization
Stochastic optimization problems provide a means to model uncertainty in the input data where the uncertainty is modeled by a probability distribution over the possible realizatio...
Chaitanya Swamy, David B. Shmoys
NPL
2008
100views more  NPL 2008»
15 years 6 months ago
Comparing Combination Rules of Pairwise Neural Networks Classifiers
A decomposition approach to multiclass classification problems consists in decomposing a multiclass problem into a set of binary ones. Decomposition splits the complete multiclass ...
Olivier Lezoray, Hubert Cardot
DATE
1999
IEEE
194views Hardware» more  DATE 1999»
15 years 11 months ago
Algorithms for Solving Boolean Satisfiability in Combinational Circuits
Boolean Satisfiability is a ubiquitous modeling tool in Electronic Design Automation, It finds application in test pattern generation, delay-fault testing, combinational equivalen...
Luís Guerra e Silva, Luis Miguel Silveira, ...
CISS
2008
IEEE
16 years 1 months ago
Distributed computation of a sparse cover in sensor networks without location information
— In this paper, we present a distributed algorithm for detecting redundancies in a sensor network with no location information. We demonstrate how, in the absence of localizatio...
Alireza Tahbaz-Salehi, Ali Jadbabaie
ICRA
2003
IEEE
117views Robotics» more  ICRA 2003»
16 years 11 hour ago
Map building with mobile robots in dynamic environments
The problem of generating maps with mobile robots has received considerable attention over the past years. Most of the techniques developed so far have been designed for situation...
Dirk Hähnel, Rudolph Triebel, Wolfram Burgard...