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JSAC
2010
138views more  JSAC 2010»
13 years 6 months ago
Dynamic conjectures in random access networks using bio-inspired learning
—Inspired by the biological entities’ ability to achieve reciprocity in the course of evolution, this paper considers a conjecture-based distributed learning approach that enab...
Yi Su, Mihaela van der Schaar
CEC
2008
IEEE
14 years 2 months ago
Decentralised distributed multiple objective particle swarm optimisation using peer to peer networks
—This paper describes a distributed particle swarm optimisation algorithm (PSO) based on peer-to-peer computer networks. A number of modifications are made to the more tradition...
Ian Scriven, Andrew Lewis, David Ireland, Junwei L...
CSDA
2007
106views more  CSDA 2007»
13 years 7 months ago
Parsimonious additive models
A new method for function estimation and variable selection, specifically designed for additive models fitted by cubic splines is proposed.This new method involves regularizing ...
Marta Avalos, Yves Grandvalet, Christophe Ambroise
IACR
2011
128views more  IACR 2011»
12 years 7 months ago
Sign Modules in Secure Arithmetic Circuits
In this paper, we study the complexity of secure multiparty computation using only the secure arithmetic black-box of a finite field, counting the cost by the number of secure m...
Ching-Hua Yu
GECCO
2010
Springer
244views Optimization» more  GECCO 2010»
13 years 7 months ago
Implicit fitness and heterogeneous preferences in the genetic algorithm
This paper takes an economic approach to derive an evolutionary learning model based entirely on the endogenous employment of genetic operators in the service of self-interested a...
Justin T. H. Smith