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» Probabilistic Neural Network Models for Sequential Data
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IJCAI
1989
13 years 9 months ago
Integrating Knowledge-Based System and Neural Network Techniques for Robotic Skill Acquisition
This paper describes an approach to robotic control that is patterned after models of human skill acquisition. The intent is to develop robots capable of learning how to accomplis...
David Handelman, Stephen Lane, Jack Gelfand
QEST
2009
IEEE
14 years 2 months ago
On the Impact of Modelling Choices for Distributed Information Spread
—We consider a distributed shuffling algorithm for sharing data in a distributed network. Nodes executing the algorithm periodically contact each other and exchange data. The be...
Rena Bakhshi, Ansgar Fehnker
IJCNN
2000
IEEE
13 years 11 months ago
Competing Hidden Markov Models on the Self-Organizing Map
This paper presents an unsupervised segmentation method for feature sequences based on competitivelearning hidden Markov models. Models associated with the nodes of the Self-Organ...
Panu Somervuo
ICANN
2009
Springer
13 years 5 months ago
MINLIP: Efficient Learning of Transformation Models
Abstract. This paper studies a risk minimization approach to estimate a transformation model from noisy observations. It is argued that transformation models are a natural candidat...
Vanya Van Belle, Kristiaan Pelckmans, Johan A. K. ...
IWANN
2001
Springer
14 years 16 days ago
A Realistic Computational Model of the Local Circuitry of the Cuneate Nucleus
Abstract. Intracellular recordings obtained under cutaneous and lemniscal stimulation show that the afferent fibers can establish excitatory and inhibitory synaptic connections w...
Eduardo Sánchez Vila, Senén Barro, J...