163 search results - page 2 / 33 » Learning linear dynamical systems without sequence informati... |
117
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NIPS
2007
15 years 2 months ago
2007
Stability is a desirable characteristic for linear dynamical systems, but it is often ignored by algorithms that learn these systems from data. We propose a novel method for learn...
112
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AAAI
1994
15 years 2 months ago
1994
Researchers in the eld of Distributed Arti cial Intelligence (DAI) have been developing e cient mechanisms to coordinate the activities of multiple autonomous agents. The need for...
ICPR
2010
IEEE
15 years 6 months ago
2010
IEEE
Given a sequence of observable features of a linear dynamical system (LDS), we propose the problem of finding a representation of the LDS which is sparse in terms of a given dict...
106
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ICML
2006
IEEE
16 years 1 months ago
2006
IEEE
The recent Predictive Linear Gaussian model (or PLG) improves upon traditional linear dynamical system models by using a predictive representation of state, which makes consistent...
100
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BMCBI
2007
15 years 1 months ago
2007
Background: Features of a DNA sequence can be found by compressing the sequence under a suitable model; good compression implies low information content. Good DNA compression mode...