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» Structure learning of Bayesian networks using constraints
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IJCNN
2000
IEEE
15 years 9 months ago
Regression Analysis for Rival Penalized Competitive Learning Binary Tree
The main aim of this paper is to develop a suitable regression analysis model for describing the relationship between the index efficiency and the parameters of the Rival Penaliz...
Xuequn Li, Irwin King
NIPS
1994
15 years 5 months ago
An Input Output HMM Architecture
We introduce a recurrent architecture having a modular structure and we formulate a training procedure based on the EM algorithm. The resulting model has similarities to hidden Ma...
Yoshua Bengio, Paolo Frasconi
SAFECOMP
2004
Springer
15 years 10 months ago
Using Fuzzy Self-Organising Maps for Safety Critical Systems
This paper defines a type of constrained artificial neural network (ANN) that enables analytical certification arguments whilst retaining valuable performance characteristics. ...
Zeshan Kurd, Tim Kelly
127
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AIPR
2004
IEEE
15 years 8 months ago
Adaptive Road Detection through Continuous Environment Learning
The Intelligent Systems Division of the National Institute of Standards and Technology has been engaged for several years in developing real-time systems for autonomous driving. A...
Mike Foedisch, Aya Takeuchi
INFOCOM
2008
IEEE
15 years 11 months ago
End-to-End Resource Allocation in OFDM Based Linear Multi-Hop Networks
— We study the end-to-end resource allocation in an OFDM based multi-hop network consisting of a one-dimensional chain of nodes including a source, a destination, and multiple re...
Xiaolu Zhang, Wenhua Jiao, Meixia Tao