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IJCNN
2006
IEEE
16 years 17 days ago
Adaptation of Artificial Neural Networks Avoiding Catastrophic Forgetting
— In connectionist learning, one relevant problem is “catastrophic forgetting” that may occur when a network, trained with a large set of patterns, has to learn new input pat...
Dario Albesano, Roberto Gemello, Pietro Laface, Fr...
PR
2006
141views more  PR 2006»
15 years 6 months ago
Relaxational metric adaptation and its application to semi-supervised clustering and content-based image retrieval
The performance of many supervised and unsupervised learning algorithms is very sensitive to the choice of an appropriate distance metric. Previous work in metric learning and ada...
Hong Chang, Dit-Yan Yeung, William K. Cheung
AGENTS
2000
Springer
15 years 11 months ago
Adaptivity in agent-based routing for data networks
Adaptivity, both of the individual agents and of the interaction structure among the agents, seems indispensable for scaling up multi-agent systems MAS's in noisy environme...
David Wolpert, Sergey Kirshner, Christopher J. Mer...
FCCM
2000
IEEE
103views VLSI» more  FCCM 2000»
15 years 11 months ago
A Networked FPGA-Based Hardware Implementation of a Neural Network Application
This paper describes a networked FPGA-based implementation of the FAST (Flexible Adaptable-Size Topology) architecture, a Arti cial Neural Network (ANN) that dynamically adapts it...
Héctor Fabio Restrepo, Ralph Hoffmann, Andr...
FOCI
2007
IEEE
15 years 10 months ago
On the Influence of Phenotype Plasticity on Genotype Diversity
A large body of research has investigated the advantages of combining phenotype adaptation and genotype adaptation. The hybridization of genetic search and local search methods, of...
Ingo Paenke, Jürgen Branke, Yaochu Jin