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ESANN
2001
15 years 8 months ago
Learning fault-tolerance in Radial Basis Function Networks
This paper describes a method of supervised learning based on forward selection branching. This method improves fault tolerance by means of combining information related to general...
Xavier Parra, Andreu Català
NIPS
2004
15 years 8 months ago
Spike-timing Dependent Plasticity and Mutual Information Maximization for a Spiking Neuron Model
We derive an optimal learning rule in the sense of mutual information maximization for a spiking neuron model. Under the assumption of small fluctuations of the input, we find a s...
Taro Toyoizumi, Jean-Pascal Pfister, Kazuyuki Aiha...
SPLC
2004
15 years 8 months ago
Automatic Generation of Program Families by Model Restrictions
We study the generative development of control programs for families of embedded devices. A software family is described by a single common model and restriction specifications for...
Andrzej Wesowski
WSC
1997
15 years 8 months ago
Evaluating Embedded Decision Processes of Manufacturing Systems Through Simulation
This paper addresses the issues related to the decision processes of manufacturing system simulation. The manufacturing system is perceived in terms of intelligent entities capabl...
S. Cem Karacal
ICML
2010
IEEE
15 years 7 months ago
Boosting for Regression Transfer
The goal of transfer learning is to improve the learning of a new target concept given knowledge of related source concept(s). We introduce the first boosting-based algorithms for...
David Pardoe, Peter Stone