120 search results - page 11 / 24 » Modeling Temporal Structure in Classical Conditioning |
186
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IJCAI
2007
15 years 7 months ago
2007
Recently, significant progress has been made on learning structured predictors via coordinated training algorithms such as conditional random fields and maximum margin Markov ne...
184
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VLSID
2005
IEEE
16 years 6 months ago
2005
IEEE
We propose a novel, non-simulative, probabilistic model for switching activity in sequential circuits, capturing both spatio-temporal correlations at internal nodes and higher ord...
178
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TSP
2010
15 years 15 days ago
2010
Graphical models are a framework for representing and exploiting prior conditional independence structures within distributions using graphs. In the Gaussian case, these models are...
185
Voted
IANDC
2011
15 years 24 days ago
2011
Partial transition systems support abstract model checking of complex temporal propercombining both over- and under-approximatingabstractions into a single model. Over the years, ...
167
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ICPR
2010
IEEE
15 years 11 months ago
2010
IEEE
Abstract—Due to their ability to model sequential data without making unnecessary independence assumptions, conditional random fields (CRFs) have become an increasingly popular ...