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ECAL
2005
Springer
15 years 8 months ago
Measuring Diversity in Populations Employing Cultural Learning in Dynamic Environments
Abstract. This paper examines the effect of cultural learning on a population of neural networks. We compare the genotypic and phenotypic diversity of populations employing only p...
Dara Curran, Colm O'Riordan
101
Voted
ICANN
2003
Springer
15 years 7 months ago
Optimal Hebbian Learning: A Probabilistic Point of View
Many activity dependent learning rules have been proposed in order to model long-term potentiation (LTP). Our aim is to derive a spike time dependent learning rule from a probabili...
Jean-Pascal Pfister, David Barber, Wulfram Gerstne...
FLAIRS
2006
15 years 4 months ago
Generating Realistic Large Bayesian Networks by Tiling
In this paper we present an algorithm and software for generating arbitrarily large Bayesian Networks by tiling smaller real-world known networks. The algorithm preserves the stru...
Ioannis Tsamardinos, Alexander R. Statnikov, Laura...
114
Voted
CVPR
2010
IEEE
15 years 11 months ago
Learning Mid-Level Features For Recognition
Many successful models for scene or object recognition transform low-level descriptors (such as Gabor filter responses, or SIFT descriptors) into richer representations of interme...
Y-Lan Boureau, Francis Bach, Yann LeCun, Jean Ponc...
118
Voted
ICCS
2009
Springer
15 years 9 months ago
An Intelligent Tutoring System for Interactive Learning of Data Structures
Abstract. The high level of abstraction necessary to teach data structures and algorithmic schemes has been more than a hindrance to students. In order to make a proper approach to...
Rafael del Vado Vírseda, Pablo Ferná...