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ECML
2007
Springer
15 years 10 months ago
On Phase Transitions in Learning Sparse Networks
In this paper we study the identification of sparse interaction networks as a machine learning problem. Sparsity means that we are provided with a small data set and a high number...
Goele Hollanders, Geert Jan Bex, Marc Gyssens, Ron...
GPCE
2007
Springer
15 years 10 months ago
Oz/K: a kernel language for component-based open programming
Programming in an open environment remains challenging because it requires combining modularity, security, concurrency, distribution, and dynamicity. In this paper, we propose an ...
Michael Lienhardt, Alan Schmitt, Jean-Bernard Stef...
ICCS
2007
Springer
15 years 10 months ago
Securely Deliver Data by Multi-path Routing Scheme in Wireless Mesh Networks
Wireless Mesh Networks with static Transit Access Points (TAPs) have many advantages to connect different kinds of networks. While Mobile Ad hoc Networks still have many challenges...
Cao Trong Hieu, Choong Seon Hong
IWCLS
2007
Springer
15 years 10 months ago
On Lookahead and Latent Learning in Simple LCS
Learning Classifier Systems use evolutionary algorithms to facilitate rule- discovery, where rule fitness is traditionally payoff based and assigned under a sharing scheme. Most c...
Larry Bull
KI
2007
Springer
15 years 10 months ago
A General Framework for Encoding and Evolving Neural Networks
Abstract. In this paper we present a novel general framework for encoding and evolving networks called Common Genetic Encoding (CGE) that can be applied to both direct and indirect...
Yohannes Kassahun, Jan Hendrik Metzen, Jose de Gea...
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