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» The Consolidation of Neural Network Task Knowledge
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ICANN
2011
Springer
14 years 29 days ago
Learning from Multiple Annotators with Gaussian Processes
Abstract. In many supervised learning tasks it can be costly or infeasible to obtain objective, reliable labels. We may, however, be able to obtain a large number of subjective, po...
Perry Groot, Adriana Birlutiu, Tom Heskes
AAAI
1994
14 years 10 months ago
Parsing Embedded Clauses with Distributed Neural Networks
A distributed neural network model called SPEC for processing sentences with recursive relative clauses is described. The model is based on separating the tasks of segmenting the ...
Risto Miikkulainen, Dennis Bijwaard
IJCNN
2006
IEEE
15 years 3 months 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...
ASC
2006
14 years 11 months ago
Supervised neuronal approaches for EEG signal classification: Experimental studies
Using artificial neural networks for Electroencephalogram (EEG) signal interpretation is a very challenging tasks for several reasons. The first class of reasons refers to the nat...
Frédéric Alexandre, Kerkeni Nizar, K...
CORR
2002
Springer
89views Education» more  CORR 2002»
14 years 9 months ago
NetNeg: A Connectionist-Agent Integrated System for Representing Musical Knowledge
Thesystempresented here showsthe feasibility of modcling the knowledgeinvolved in a complexmusical activity by integrating sub-symbolicand symbolicprocesses. Thisresearch focuses ...
Claudia V. Goldman, Dan Gang, Jeffrey S. Rosensche...