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GECCO
2007
Springer
140views Optimization» more  GECCO 2007»
15 years 8 months ago
Peer-to-peer evolutionary algorithms with adaptive autonomous selection
In this paper we describe and evaluate a fully distributed P2P evolutionary algorithm (EA) with adaptive autonomous selection. Autonomous selection means that decisions regarding ...
W. R. M. U. K. Wickramasinghe, Maarten van Steen, ...
TON
2010
198views more  TON 2010»
14 years 9 months ago
On Wireless Scheduling Algorithms for Minimizing the Queue-Overflow Probability
Abstract-- In this paper, we are interested in wireless scheduling algorithms for the downlink of a single cell that can minimize the queue-overflow probability. Specifically, in a...
V. J. Venkataramanan, Xiaojun Lin
LION
2010
Springer
190views Optimization» more  LION 2010»
15 years 6 months ago
Algorithm Selection as a Bandit Problem with Unbounded Losses
Abstract. Algorithm selection is typically based on models of algorithm performance learned during a separate offline training sequence, which can be prohibitively expensive. In r...
Matteo Gagliolo, Jürgen Schmidhuber
PC
2007
123views Management» more  PC 2007»
15 years 2 months ago
MPI collective algorithm selection and quadtree encoding
Abstract. In this paper, we focus on MPI collective algorithm selection process and explore the applicability of the quadtree encoding method to this problem. During the algorithm ...
Jelena Pjesivac-Grbovic, George Bosilca, Graham E....
NIPS
2004
15 years 3 months 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 ...