1704 search results - page 75 / 341 » Learning nonlinear dynamic models |
148
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AAAI
2008
15 years 8 months ago
2008
As machine learning (ML) systems emerge in end-user applications, learning algorithms and classifiers will need to be robust to an increasingly unpredictable operating environment...
209
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ICASSP
2011
IEEE
14 years 10 months ago
2011
IEEE
Abstract—This paper deals with estimation of the concentration of target molecules in a fluid when it flows past multiple biosensors. The fluid flow is modelled as an advecti...
186
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ICML
2009
IEEE
16 years 7 months ago
2009
IEEE
Training principles for unsupervised learning are often derived from motivations that appear to be independent of supervised learning. In this paper we present a simple unificatio...
182
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ML
2002
ACM
15 years 5 months ago
2002
ACM
A widely acknowledged drawback of many statistical modelling techniques, commonly used in machine learning, is that the resulting model is extremely difficult to interpret. A numb...
167
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ESANN
2004
15 years 7 months ago
2004
: The contribution concerns the design of a generalised functional-link neural network with internal dynamics and its applicability to system identification by means of multi-input...