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» Learning to Apply Theory of Mind
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ISNN
2005
Springer
15 years 11 months ago
Enhanced Fuzzy Single Layer Perceptron
Abstract. In this paper, a method of improving the learning time and convergence rate is proposed to exploit the advantages of artificial neural networks and fuzzy theory to neuron...
Kwang-Baek Kim, Sungshin Kim, Young Hoon Joo, Am S...
GECCO
2007
Springer
210views Optimization» more  GECCO 2007»
16 years 10 days ago
Mining breast cancer data with XCS
In this paper, we describe the use of a modern learning classifier system to a data mining task. In particular, in collaboration with a medical specialist, we apply XCS to a prima...
Faten Kharbat, Larry Bull, Mohammed Odeh
ML
2012
ACM
385views Machine Learning» more  ML 2012»
14 years 1 months ago
An alternative view of variational Bayes and asymptotic approximations of free energy
Bayesian learning, widely used in many applied data-modeling problems, is often accomplished with approximation schemes because it requires intractable computation of the posterio...
Kazuho Watanabe
ICALT
2008
IEEE
16 years 18 days ago
A SOA-Based Framework for Constructing Problem Solving Environments
In this paper we present a framework for constructing problem solving environments for assessing procedural knowledge, i.e. the student’s ability to apply his/her knowledge in o...
Jaime Gálvez, Eduardo Guzmán, Ricard...
GECCO
2006
Springer
162views Optimization» more  GECCO 2006»
15 years 9 months ago
Indirect co-evolution for understanding belief in an incomplete information dynamic game
This study aims to design a new co-evolution algorithm, Mixture Co-evolution which enables modeling of integration and composition of direct co-evolution and indirect coevolution....
Nanlin Jin