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» Problem dependent optimization (PDO)
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KDD
2010
ACM
274views Data Mining» more  KDD 2010»
15 years 8 months ago
Grafting-light: fast, incremental feature selection and structure learning of Markov random fields
Feature selection is an important task in order to achieve better generalizability in high dimensional learning, and structure learning of Markov random fields (MRFs) can automat...
Jun Zhu, Ni Lao, Eric P. Xing
GECCO
2007
Springer
183views Optimization» more  GECCO 2007»
15 years 8 months ago
Evolving distributed agents for managing air traffic
Air traffic management offers an intriguing real world challenge to designing large scale distributed systems using evolutionary computation. The ability to evolve effective air t...
Adrian K. Agogino, Kagan Tumer
130
Voted
GECCO
2008
Springer
135views Optimization» more  GECCO 2008»
15 years 5 months ago
Context-dependent predictions and cognitive arm control with XCSF
While John Holland has always envisioned learning classifier systems (LCSs) as cognitive systems, most work on LCSs has focused on classification, datamining, and function appro...
Martin V. Butz, Oliver Herbort
132
Voted
ATAL
2007
Springer
15 years 10 months ago
Distributed management of flexible times schedules
In this paper we consider the problem of managing and exploiting schedules in an uncertain and distributed environment. We assume a team of collaborative agents, each responsible ...
Stephen F. Smith, Anthony Gallagher, Terry L. Zimm...
GECCO
2005
Springer
140views Optimization» more  GECCO 2005»
15 years 9 months ago
Intransitivity revisited coevolutionary dynamics of numbers games
Relative fitness, or “evaluation by tests” is one of the building blocks of coevolution: the only fitness information available is a comparison with other individuals in a p...
Pablo Funes, Enrique Pujals