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173
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IJCNN
2008
IEEE
16 years 23 days ago
2008
IEEE
Abstract— Almost all learning machines used in computational intelligence are not regular but singular statistical models, because they are nonidentifiable and their Fisher info...
154
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ICDCS
2007
IEEE
16 years 20 days ago
2007
IEEE
Learning the underlying model from distributed data is often useful for many distributed systems. In this paper, we study the problem of learning a non-parametric model from distr...
190
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IPSN
2005
Springer
15 years 12 months ago
2005
Springer
Tracking the identities of moving objects is an important aspect of most multi-object tracking applications. Uncertainty in sensor data, coupled with the intrinsic difficulty of ...
152
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IJAR
2007
15 years 6 months ago
2007
Pseudo-independent (PI) models are a special class of probabilistic domain model (PDM) where a set of marginally independent domain variables shows collective dependency, a specia...
142
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PERCOM
2006
ACM
16 years 6 months ago
2006
ACM
This paper proposes a distributed platform designed to support pervasive learning and interactivity on a university campus and to ease tasks related to learning and teaching. The ...