3694 search results - page 232 / 739 » Stochastic complexity in learning |
146
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IWANN
2005
Springer
15 years 11 months ago
2005
Springer
A large class of problems requires real-time processing of complex temporal inputs in real-time. These are difficult tasks for state-of-the-art techniques, since they require captu...
155
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SARA
2005
Springer
15 years 11 months ago
2005
Springer
Abstract. The presence of long gaps dramatically increases the difficulty of detecting and characterizing complex events hidden in long sequences. In order to cope with this proble...
155
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CEC
2010
IEEE
15 years 7 months ago
2010
IEEE
Learning Bayesian networks from data is an N-P hard problem with important practical applications. Several researchers have designed algorithms to overcome the computational comple...
204
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AIR
2006
15 years 6 months ago
2006
Abstract. An over-zealous machine learner can automatically generate large, intricate, theories which can be hard to understand. However, such intricate learning is not necessary i...
191
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SSPR
2004
Springer
15 years 11 months ago
2004
Springer
Abstract. In surveillance systems for monitoring people behaviour, it is imporant to build systems that can adapt to the signatures of the people tasks and movements in the environ...