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» The Learning Power of Evolution
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KI
2007
Springer
15 years 4 months ago
Inductive Synthesis of Recursive Functional Programs
Abstract. We compare three systems for the task of synthesising functional recursive programs, namely Adate, an approach through evolutionary computation, the classification learn...
Martin Hofmann 0008, Andreas Hirschberger, Emanuel...
76
Voted
MDM
2007
Springer
123views Communications» more  MDM 2007»
15 years 4 months ago
Hiding Location Information from Location-Based Services
—In many existing location-based services, a service provider becomes aware of the location of its customers and can, maybe inadvertently, leak this information to unauthorized e...
Urs Hengartner
CEEMAS
2005
Springer
15 years 3 months ago
A Direct Reputation Model for VO Formation
We show that reputation is a basic ingredient in the Virtual Organisation (VO) formation process. Agents can use their experiences gained in direct past interactions to model other...
Arturo Avila-Rosas, Michael Luck
89
Voted
GECCO
2005
Springer
155views Optimization» more  GECCO 2005»
15 years 3 months ago
A pareto archive evolutionary strategy based radial basis function neural network training algorithm for failure rate prediction
This paper outlines a radial basis function neural network approach to predict the failures in overhead distribution lines of power delivery systems. The RBF networks are trained ...
Grant Cochenour, Jerad Simon, Sanjoy Das, Anil Pah...
101
Voted
WIRN
2005
Springer
15 years 3 months ago
Recursive Neural Networks and Graphs: Dealing with Cycles
Recursive neural networks are a powerful tool for processing structured data. According to the recursive learning paradigm, the input information consists of directed positional ac...
Monica Bianchini, Marco Gori, Lorenzo Sarti, Franc...