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145
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ICANN
2001
Springer
2001
Springer
Learning and Prediction of the Nonlinear Dynamics of Biological Neurons with Support Vector Machines
15 years 11 months ago
Based on biological data we examine the ability of Support Vector Machines (SVMs) with gaussian kernels to learn and predict the nonlinear dynamics of single biological neurons. We...
163
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IJCAI
1997
15 years 7 months ago
1997
This paper presents an interactive method for building a controller for dynamic systems by using a combination of knowledge acquisition and machine learning techniques. The aim is...
260
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Book
"Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning...
184
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EDUTAINMENT
2008
Springer
15 years 8 months ago
2008
Springer
In this paper we present a telerehabilitation system aiming to help physiotherapists on the shoulder and elbow treatment. Our system is based on a two-arm haptic force feedback to ...
155
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ISNN
2007
Springer
16 years 16 days ago
2007
Springer
This paper proposes novel hierarchical self-organizing associative memory architecture for machine learning. This memory architecture is characterized with sparse and local interco...