1291 search results - page 157 / 259 » Learning Rules from Distributed Data |
123
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ICPR
2008
IEEE
16 years 4 months ago
2008
IEEE
We outline an incremental learning algorithm designed for nonstationary environments where the underlying data distribution changes over time. With each dataset drawn from a new e...
162
Voted
ICCV
2009
IEEE
15 years 15 days ago
2009
IEEE
Multi-label learning is useful in visual object recognition when several objects are present in an image. Conventional approaches implement multi-label learning as a set of binary...
119
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UAI
2003
15 years 4 months ago
2003
Methods for learning Bayesian networks can discover dependency structure between observed variables. Although these methods are useful in many applications, they run into computat...
131
Voted
ECML
2007
Springer
15 years 9 months ago
2007
Springer
We present a framework for efficient, accurate approximate Bayesian inference in generalized linear models (GLMs), based on the expectation propagation (EP) technique. The paramete...
626
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Lecture Notes
I have been designing and building applications, including the databases used by those applications, for several decades now. I have seen similar problems approached by different d...