1149 search results - page 116 / 230 » Learning Dynamic Bayesian Networks |
NIPS
2003
14 years 11 months ago
2003
We consider an online learning scenario in which the learner can make predictions on the basis of a fixed set of experts. We derive upper and lower relative loss bounds for a cla...
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NEUROSCIENCE
2001
Springer
15 years 2 months ago
2001
Springer
We propose a theoretical framework for specification and analysis of a class of learning problems that arise in open-ended environments that contain multiple, distributed, dynamic...
CVPR
2008
IEEE
15 years 12 months ago
2008
IEEE
In this paper, we present a novel on-line probabilistic generative model that simultaneously deals with both the clustering and the tracking of an unknown number of moving objects...
CORR
2010
Springer
14 years 8 months ago
2010
Springer
We consider linear models for stochastic dynamics. To any such model can be associated a network (namely a directed graph) describing which degrees of freedom interact under the d...
KDD
2000
ACM
15 years 1 months ago
2000
ACM
In this paper we introduce the Generalized Bayesian Committee Machine (GBCM) for applications with large data sets. In particular, the GBCM can be used in the context of kernel ba...