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» Nonmonotonic Inferences in Neural Networks
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NIPS
1992
13 years 8 months ago
Explanation-Based Neural Network Learning for Robot Control
How can artificial neural nets generalize better from fewer examples? In order to generalize successfully, neural network learning methods typically require large training data se...
Tom M. Mitchell, Sebastian Thrun
ICPR
2010
IEEE
14 years 1 months ago
Using Sequential Context for Image Analysis
—This paper proposes the sequential context inference (SCI) algorithm for Markov random field (MRF) image analysis. This algorithm is designed primarily for fast inference on an...
Antonio Paiva, Elizabeth Jurrus, Tolga Tasdizen
TNN
2008
88views more  TNN 2008»
13 years 7 months ago
A New Approach to Knowledge-Based Design of Recurrent Neural Networks
Abstract-- A major drawback of artificial neural networks (ANNs) is their black-box character. This is especially true for recurrent neural networks (RNNs) because of their intrica...
Eyal Kolman, Michael Margaliot
ICT
2004
Springer
194views Communications» more  ICT 2004»
14 years 22 days ago
Competitive Neural Networks for Fault Detection and Diagnosis in 3G Cellular Systems
We propose a new approach to fault detection and diagnosis in third-generation (3G) cellular networks using competitive neural algorithms. For density estimation purposes, a given ...
Guilherme De A. Barreto, João Cesar M. Mota...
NC
1998
118views Neural Networks» more  NC 1998»
13 years 8 months ago
BRAINN: A Connectionist Approach to Symbolic Reasoning
Hybrid connectionist symbolic systems have been the subject of much recent research in AI. By focusing on the implementation of high-level human cognitive processes (e.g., rule-ba...
Rafal Bogacz, Christophe G. Giraud-Carrier