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GECCO
2003
Springer
132views Optimization» more  GECCO 2003»
15 years 2 months ago
Evolutionary Multimodal Optimization Revisited
Abstract. We revisit a class of multimodal function optimizations using evolutionary algorithms reformulated into a multiobjective framework where previous implementations have nee...
Rajeev Kumar, Peter Rockett
ITS
2010
Springer
159views Multimedia» more  ITS 2010»
15 years 2 months ago
Optimizing Story-Based Learning: An Investigation of Student Narrative Profiles
Narrative-centered learning environments offer significant potential for creating effective learning experiences in which students actively participate in engaging story-based prob...
Seung Y. Lee, Bradford W. Mott, James C. Lester
PRL
2000
182views more  PRL 2000»
14 years 9 months ago
Bayesian MLP neural networks for image analysis
We demonstrate the advantages of using Bayesian multi layer perceptron (MLP) neural networks for image analysis. The Bayesian approach provides consistent way to do inference by c...
Aki Vehtari, Jouko Lampinen
81
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AISC
2004
Springer
15 years 1 months ago
Four Approaches to Automated Reasoning with Differential Algebraic Structures
While implementing a proof for the Basic Perturbation Lemma (a central result in Homological Algebra) in the theorem prover Isabelle one faces problems such as the implementation o...
Jesús Aransay, Clemens Ballarin, Julio Rubi...
GECCO
2004
Springer
100views Optimization» more  GECCO 2004»
15 years 3 months ago
Transfer of Neuroevolved Controllers in Unstable Domains
In recent years, the evolution of artificial neural networks or neuroevolution has brought promising results in solving difficult reinforcement learning problems. But, like standa...
Faustino J. Gomez, Risto Miikkulainen