667 search results - page 25 / 134 » Learning to Model Sequences Generated by Switching Distribut... |
101
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ICML
2010
IEEE
15 years 3 months ago
2010
IEEE
We present multi-task structure learning for Gaussian graphical models. We discuss uniqueness and boundedness of the optimal solution of the maximization problem. A block coordina...
116
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ICML
2009
IEEE
16 years 2 months ago
2009
IEEE
There are well known algorithms for learning the structure of directed and undirected graphical models from data, but nearly all assume that the data consists of a single i.i.d. s...
CORR
2006
Springer
15 years 1 months ago
2006
Springer
The Minimum Description Length principle for online sequence estimation/prediction in a proper learning setup is studied. If the underlying model class is discrete, then the total...
102
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ATAL
2005
Springer
15 years 7 months ago
2005
Springer
Robust sequence prediction is an essential component of an intelligent agent acting in a dynamic world. We consider the case of near-future event prediction by an online learning ...
135
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VLSISP
1998
15 years 1 months ago
1998
This paper presents an adaptive structure self-organizing finite mixture network for quantification of magnetic resonance (MR) brain image sequences. We present justification fo...