1704 search results - page 75 / 341 » Learning nonlinear dynamic models |
90
Voted
AAAI
2008
15 years 3 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...
130
click to vote
ICASSP
2011
IEEE
14 years 4 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...
112
click to vote
ICML
2009
IEEE
16 years 1 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...
123
Voted
ML
2002
ACM
15 years 12 days 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...
120
click to vote
ESANN
2004
15 years 2 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...