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DAGSTUHL
2008
14 years 11 months ago
The Grand Challenges and Myths of Neural-Symbolic Computation
The construction of computational cognitive models integrating the connectionist and symbolic paradigms of artificial intelligence is a standing research issue in the field. The co...
Luís C. Lamb
NIPS
2001
14 years 11 months ago
Speech Recognition with Missing Data using Recurrent Neural Nets
In the `missing data' approach to improving the robustness of automatic speech recognition to added noise, an initial process identifies spectraltemporal regions which are do...
S. Parveen, P. Green
SIGKDD
2000
112views more  SIGKDD 2000»
14 years 9 months ago
Artificial Neural Networks - A Science in Trouble
This article points out some very serious misconceptions about the brain in connectionism and artificial neural networks. Some of the connectionist ideas have been shown to have l...
Asim Roy
PAAMS
2010
Springer
14 years 7 months ago
Assessing Knowledge Management in the Power Sector through a Connectionist Model
It has been proven that Artificial Intelligence, in general, and Artificial Neural Networks, in particular, can be successfully applied to problems in the field of Knowledge Manage...
Álvaro Herrero, Lourdes Cecilia Sáiz...
ICML
1991
IEEE
15 years 1 months ago
Simulating Stages of Human Cognitive Development With Connectionist Models
The psychological literature on stages of cognitive development was reviewed and found to contain support for the idea that stages represent ordinal, qualitative changes in organi...
Thomas R. Shultz