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» The Learning Power of Evolution
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DSS
2002
220views more  DSS 2002»
15 years 3 months ago
Past, present, and future of decision support technology
Since the early 1970s, decision support systems (DSS) technology and applications have evolved significantly. Many technological and organizational developments have exerted an im...
J. P. Shim, Merrill Warkentin, James F. Courtney, ...
GECCO
2005
Springer
141views Optimization» more  GECCO 2005»
15 years 9 months ago
Constructing good learners using evolved pattern generators
Self-organization of brain areas in animals begins prenatally, evidently driven by spontaneously generated internal patterns. The neural structures continue to develop postnatally...
Vinod K. Valsalam, James A. Bednar, Risto Miikkula...
142
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ECML
2006
Springer
15 years 7 months ago
Combinatorial Markov Random Fields
Abstract. A combinatorial random variable is a discrete random variable defined over a combinatorial set (e.g., a power set of a given set). In this paper we introduce combinatoria...
Ron Bekkerman, Mehran Sahami, Erik G. Learned-Mill...
WETICE
2006
IEEE
15 years 10 months ago
Multi-Dimensional Performance Framework for Enterprise Knowledge Infrastructures
— Within service-oriented business environments, the non-routine processing of requests requires a greater degree of social interaction and learning in order to achieve an effect...
Joe Bolinger, Jay Ramanathan
GECCO
2010
Springer
187views Optimization» more  GECCO 2010»
15 years 7 months ago
Evolving agent behavior in multiobjective domains using fitness-based shaping
Multiobjective evolutionary algorithms have long been applied to engineering problems. Lately they have also been used to evolve behaviors for intelligent agents. In such applicat...
Jacob Schrum, Risto Miikkulainen