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» Using model knowledge for learning inverse dynamics
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132
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ICPR
2008
IEEE
16 years 4 months ago
Incremental learning in non-stationary environments with concept drift using a multiple classifier based approach
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...
Matthew T. Karnick, Michael Muhlbaier, Robi Polika...
142
Voted
EMNLP
2009
15 years 1 months ago
On the Use of Virtual Evidence in Conditional Random Fields
Virtual evidence (VE), first introduced by (Pearl, 1988), provides a convenient way of incorporating prior knowledge into Bayesian networks. This work generalizes the use of VE to...
Xiao Li
139
Voted
SKG
2006
IEEE
15 years 9 months ago
Mathematics Computing Environment on the Web
With the rapid evolution of web technology and Internet, the mathematical web has emerged as a new research trend, which changes the traditional manner of mathematical scientific ...
Li Liu, Yi Yang, Lian Li
AAAI
2008
15 years 5 months ago
Dynamic Distributed Constraint Reasoning
What local action can agents take, without the benefit of global knowledge, to produce the best global solution? Many dynamic distributed systems can be modeled using techniques f...
Robert N. Lass, Evan Sultanik, William C. Regli
119
Voted
ICONIP
2004
15 years 5 months ago
A Connectionist Account of Ontological Boundary Shifting
Previous research on children's categorizations has suggested that children use perceptual and conceptual knowledge to generalize object names. Especially, the relation betwee...
Shohei Hidaka, Jun Saiki