3276 search results - page 165 / 656 » Data learning based diagnosis |
119
Voted
ICML
2009
IEEE
16 years 1 months ago
2009
IEEE
Sparse coding--that is, modelling data vectors as sparse linear combinations of basis elements--is widely used in machine learning, neuroscience, signal processing, and statistics...
ICML
2006
IEEE
16 years 1 months ago
2006
IEEE
We address the problem of efficiently learning Naive Bayes classifiers under classconditional classification noise (CCCN). Naive Bayes classifiers rely on the hypothesis that the ...
99
Voted
ECML
2005
Springer
15 years 6 months ago
2005
Springer
Discriminative learning techniques for sequential data have proven to be more effective than generative models for named entity recognition, information extraction, and other task...
94
Voted
PERVASIVE
2008
Springer
15 years 1 months ago
2008
Springer
Abstract. People-centric sensor-based applications targeting mobile device users offer enormous potential. However, learning inference models in this setting is hampered by the lac...
109
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FBIT
2007
IEEE
15 years 7 months ago
2007
IEEE
The paper describes our first experiments on Reinforcement Learning to steer a real robot car. The applied method, Neural Fitted Q Iteration (NFQ) is purely data-driven based on ...