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PPSN
2004
Springer
15 years 12 months ago
A Primer on the Evolution of Equivalence Classes of Bayesian-Network Structures
Bayesian networks (BN) constitute a useful tool to model the joint distribution of a set of random variables of interest. To deal with the problem of learning sensible BN models fr...
Jorge Muruzábal, Carlos Cotta
ICANN
2003
Springer
15 years 11 months ago
Formal Determination of Context in Contextual Recursive Cascade Correlation Networks
We consider the Contextual Recursive Cascade Correlation model (CRCC), a model able to learn contextual mappings in structured domains. We propose a formal characterization of the ...
Alessio Micheli, Diego Sona, Alessandro Sperduti
SBRN
2000
IEEE
15 years 11 months ago
An Evolutionary Immune Network for Data Clustering
This paper explores basic aspects of the immune system and proposes a novel immune network model with the main goals of clustering and filtering unlabeled numerical data sets. It ...
Leandro Nunes de Castro, Fernando J. Von Zuben
ICML
2007
IEEE
16 years 7 months ago
Recovering temporally rewiring networks: a model-based approach
A plausible representation of relational information among entities in dynamic systems such as a living cell or a social community is a stochastic network which is topologically r...
Fan Guo, Steve Hanneke, Wenjie Fu, Eric P. Xing
ICANN
2010
Springer
15 years 4 months ago
Dynamics and Function of a CA1 Model of the Hippocampus during Theta and Ripples
The hippocampus is known to be involved in spatial learning in rats. Spatial learning involves the encoding and replay of temporally sequenced spatial information. Temporally seque...
Vassilis Cutsuridis, Michael E. Hasselmo