3449 search results - page 559 / 690 » A Framework for Multiple-Instance Learning |
238
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TIP
2010
15 years 1 months ago
2010
The emergence of low-cost sensing architectures for diverse modalities has made it possible to deploy sensor networks that capture a single event from a large number of vantage po...
165
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CORR
2011
Springer
14 years 10 months ago
2011
Springer
Boosting is a popular way to derive powerful learners from simpler hypothesis classes. Following previous work (Mason et al., 1999; Friedman, 2000) on general boosting frameworks,...
192
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ICDE
2011
IEEE
14 years 10 months ago
2011
IEEE
— Many real-world applications deal with uncertain or missing data, prompting a surge of activity in the area of probabilistic databases. A shortcoming of prior work is the assum...
185
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AGI
2011
14 years 10 months ago
2011
The ability to identify novel patterns in observations is an essential aspect of intelligence. In a computational framework, the notion of a pattern can be formalized as a program ...
195
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CIMCA
2008
IEEE
16 years 25 days ago
2008
IEEE
Research in reinforcement learning has produced algorithms for optimal decision making under uncertainty that fall within two main types. The first employs a Bayesian framework, ...