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148
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VLDB
1991
ACM
15 years 6 months ago
1991
ACM
Object-oriented data models are receiving wide attention since they provide expressive ionmechanismsto model naturally and directly both structural and behavioral aspectsof comple...
115
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SEW
2006
IEEE
15 years 9 months ago
2006
IEEE
Acquisition of “quantitative” models of sufficient accuracy to enable effective analysis of requirements tradeoffs is hampered by the slowness and difficulty of obtaining su...
131
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CORR
2008
Springer
15 years 3 months ago
2008
Springer
Hidden Markov Models (HMMs) are one of the most fundamental and widely used statistical tools for modeling discrete time series. In general, learning HMMs from data is computation...
146
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JMLR
2010
14 years 10 months ago
2010
Deep belief networks are a powerful way to model complex probability distributions. However, it is difficult to learn the structure of a belief network, particularly one with hidd...
180
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AAAI
2011
14 years 3 months ago
2011
Recently, a number of researchers have proposed spectral algorithms for learning models of dynamical systems—for example, Hidden Markov Models (HMMs), Partially Observable Marko...