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» On distributed optimization using generalized gossip
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GECCO
2006
Springer
168views Optimization» more  GECCO 2006»
15 years 7 months ago
A Bayesian approach to learning classifier systems in uncertain environments
In this paper we propose a Bayesian framework for XCS [9], called BXCS. Following [4], we use probability distributions to represent the uncertainty over the classifier estimates ...
Davide Aliprandi, Alex Mancastroppa, Matteo Matteu...
ICEC
1994
82views more  ICEC 1994»
15 years 5 months ago
Improving Search by Incorporating Evolution Principles in Parallel Tabu Search
Combinatorial optimization problems require computing efforts which grow at least exponentially with the problem dimension. Therefore, the use of the remarkable power of massively...
Ivan De Falco, Renato Del Balio, Ernesto Tarantino...
SIGCOMM
2010
ACM
15 years 4 months ago
EffiCuts: optimizing packet classification for memory and throughput
Packet Classification is a key functionality provided by modern routers. Previous decision-tree algorithms, HiCuts and HyperCuts, cut the multi-dimensional rule space to separate ...
Balajee Vamanan, Gwendolyn Voskuilen, T. N. Vijayk...
HPDC
2010
IEEE
15 years 4 months ago
Multi-GPU volume rendering using MapReduce
In this paper we present a multi-GPU parallel volume rendering implemention built using the MapReduce programming model. We give implementation details of the library, including s...
Jeff A. Stuart, Cheng-Kai Chen, Kwan-Liu Ma, John ...
ATAL
2009
Springer
15 years 8 months ago
Dynamic information source selection for intrusion detection systems
Our work presents a mechanism designed for the selection of the optimal information provider in a multi-agent, heterogeneous and unsupervised monitoring system. The selfadaptation...
Martin Rehák, Eugen Staab, Michal Pechoucek...