490 search results - page 49 / 98 » Structural Inference of Hierarchies in Networks |
135
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JMLR
2010
14 years 8 months ago
2010
Continuous-time Bayesian networks is a natural structured representation language for multicomponent stochastic processes that evolve continuously over time. Despite the compact r...
155
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ECAI
2004
Springer
15 years 7 months ago
2004
Springer
The Hierarchical Hidden Markov Model (HHMM) is a well formalized tool suitable to model complex patterns in long temporal or spatial sequences. Even if effective algorithms are ava...
102
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NIPS
1996
15 years 2 months ago
1996
Real-valued random hidden variables can be useful for modelling latent structure that explains correlations among observed variables. I propose a simple unit that adds zero-mean G...
122
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BMCBI
2004
15 years 1 months ago
2004
Background: Several in silico methods exist that were developed to predict protein interactions from the copious amount of genomic and proteomic data. One of these methods is Doma...
107
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SBRN
2000
IEEE
15 years 5 months ago
2000
IEEE
This paper explores basic aspects of the immune system and proposes a novel immune network model with the main goals of clustering and filtering unlabeled numerical data sets. It ...