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NECO
2002
104views more  NECO 2002»
15 years 1 months ago
An Unsupervised Ensemble Learning Method for Nonlinear Dynamic State-Space Models
A Bayesian ensemble learning method is introduced for unsupervised extraction of dynamic processes from noisy data. The data are assumed to be generated by an unknown nonlinear ma...
Harri Valpola, Juha Karhunen
DBPL
2003
Springer
109views Database» more  DBPL 2003»
15 years 6 months ago
Modelling Dynamic Web Data
We introduce the Xdπ calculus, a peer-to-peer model for reasoning about dynamic web data. Web data is not just stored statically. Rather it is referenced indirectly, for example ...
Philippa Gardner, Sergio Maffeis
ECAI
2006
Springer
15 years 5 months ago
Dynamic Orderings for AND/OR Branch-and-Bound Search in Graphical Models
AND/OR search spaces have recently been introduced as a unifying paradigm for advanced algorithmic schemes for graphical models. The main virtue of this representation is its sensi...
Radu Marinescu 0002, Rina Dechter
EOR
2006
90views more  EOR 2006»
15 years 1 months ago
A parallelizable dynamic fleet management model with random travel times
In this paper, we present a stochastic model for the dynamic fleet management problem with random travel times. Our approach decomposes the problem into time-staged subproblems by...
Huseyin Topaloglu
ICIP
2005
IEEE
16 years 3 months ago
A weight-adaptive dynamic model for shape segmentation
Physically based dynamic models are able to describe variable shapes without prior training. Their behaviour to find an object is intuitive, which facilitates corrections of false...
Klaus D. Tönnies, Peter Benedix