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FLAIRS
2001
13 years 10 months ago
Structural Learning in Object Oriented Domains
When constructing a Bayesian network, it can be advantageous to employ structural learning algorithms to combine knowledge captured in databases with prior information provided by...
Olav Bangsø, Helge Langseth, Thomas D. Niel...
NN
2008
Springer
201views Neural Networks» more  NN 2008»
13 years 8 months ago
Learning representations for object classification using multi-stage optimal component analysis
Learning data representations is a fundamental challenge in modeling neural processes and plays an important role in applications such as object recognition. In multi-stage Optima...
Yiming Wu, Xiuwen Liu, Washington Mio
DBISP2P
2005
Springer
172views Database» more  DBISP2P 2005»
14 years 2 months ago
A Content-Addressable Network for Similarity Search in Metric Spaces
In this paper we present a scalable and distributed access structure for similarity search in metric spaces. The approach is based on the Content– addressable Network (CAN) parad...
Fabrizio Falchi, Claudio Gennaro, Pavel Zezula
ICECCS
2000
IEEE
105views Hardware» more  ICECCS 2000»
14 years 1 months ago
Distributed Development of Complex Software Systems with Object Make
Production of a large-scale software system involves quite a few software components. It is very common to develop such software components in a distributed environment consisting...
Yasuhiro Sugiyama
GECCO
2009
Springer
199views Optimization» more  GECCO 2009»
14 years 1 months ago
Using behavioral exploration objectives to solve deceptive problems in neuro-evolution
Encouraging exploration, typically by preserving the diversity within the population, is one of the most common method to improve the behavior of evolutionary algorithms with dece...
Jean-Baptiste Mouret, Stéphane Doncieux