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» The Consolidation of Neural Network Task Knowledge
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COLING
1996
14 years 10 months ago
FeasPar - A Feature Structure Parser Learning to Parse Spoken Language
We describe and experimentally evaluate a system, FeasPar, that learns parsing spontaneous speech. To train and run FeasPar (Feature Structure Parser), only limited handmodeled kn...
Finn Dag Buø, Alex Waibel
IWANN
2009
Springer
15 years 4 months ago
General Purpose Agent-Based Parallel Computing
Parallel computing has become an important research field in the last years. The availability of hardware and the success of grid computing have motivated this interest. In this pa...
David Sánchez, David Isern, Ángel Ro...
IJCNN
2008
IEEE
15 years 3 months ago
Kernel methods for fMRI pattern prediction
Abstract— In this paper, we present an effective computational approach for learning patterns of brain activity from the fMRI data. The procedure involved correcting motion artif...
Yizhao Ni, Carlton Chu, Craig J. Saunders, John As...
AIIDE
2006
14 years 11 months ago
Incorporating Advice into Neuroevolution of Adaptive Agents
Neuroevolution is a promising learning method in tasks with extremely large state and action spaces and hidden states. Recent advances allow neuroevolution to take place in real t...
Chern Han Yong, Kenneth O. Stanley, Risto Miikkula...
NECO
2008
108views more  NECO 2008»
14 years 9 months ago
Optimization of Decision Making in Multilayer Networks: The Role of Locus Coeruleus
Previous theoretical work has shown that a single layer neural network can implement the optimal decision process for simple, two alternative forced choice (2AFC) tasks. However, ...
Eric Shea-Brown, Mark S. Gilzenrat, Jonathan D. Co...