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COGSCI
2010
114views more  COGSCI 2010»
13 years 7 months ago
Direct Associations or Internal Transformations? Exploring the Mechanisms Underlying Sequential Learning Behavior
We evaluate two broad classes of cognitive mechanisms that might support the learning of sequential patterns. According to the first, learning is based on the gradual accumulation...
Todd M. Gureckis, Bradley C. Love
AINA
2004
IEEE
13 years 11 months ago
A Web-Based Dual Mode Virtual Laboratory Supporting Cooperative Learning
This paper suggests the solution to build a Full Virtual Reality Learning Environment, and we have built both virtual and real laboratories on the web, in which students practice ...
Yu Lung Wu, Te Yi Chan, Bin Shyan Jong, Tsong Wuu ...
IJON
2008
133views more  IJON 2008»
13 years 6 months ago
A multi-objective approach to RBF network learning
The problem of inductive supervised learning is discussed in this paper within the context of multi-objective (MOBJ) optimization. The smoothness-based apparent (effective) comple...
Illya Kokshenev, Antônio de Pádua Bra...
ICPR
2002
IEEE
14 years 8 months ago
Learning Bayesian Network Classifiers for Credit Scoring Using Markov Chain Monte Carlo Search
In this paper, we will evaluate the power and usefulness of Bayesian network classifiers for credit scoring. Various types of Bayesian network classifiers will be evaluated and co...
Bart Baesens, Michael Egmont-Petersen, Robert Cast...
GECCO
2006
Springer
167views Optimization» more  GECCO 2006»
13 years 11 months ago
Genomic computing networks learn complex POMDPs
A genomic computing network is a variant of a neural network for which a genome encodes all aspects, both structural and functional, of the network. The genome is evolved by a gen...
David J. Montana, Eric Van Wyk, Marshall Brinn, Jo...