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» Combining Model Reductions
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ICML
2005
IEEE
15 years 10 months ago
Exploiting syntactic, semantic and lexical regularities in language modeling via directed Markov random fields
We present a directed Markov random field (MRF) model that combines n-gram models, probabilistic context free grammars (PCFGs) and probabilistic latent semantic analysis (PLSA) fo...
Shaojun Wang, Shaomin Wang, Russell Greiner, Dale ...
NECO
2008
111views more  NECO 2008»
14 years 9 months ago
A Neural Network Model of the Eriksen Task: Reduction, Analysis, and Data Fitting
We analyze a neural network model of the Eriksen task, a twoalternative forced choice task in which subjects must correctly identify a central stimulus and disregard flankers that...
Yuan Sophie Liu, Philip Holmes, Jonathan D. Cohen
RECOMB
2002
Springer
15 years 10 months ago
A dimensionality reduction approach to modeling protein flexibility
Proteins are involved either directly or indirectly in all biological processes in living organisms. It is now widely accepted that conformational changes of proteins can critical...
Miguel L. Teodoro, George N. Phillips, Lydia E. Ka...
ENTCS
2010
118views more  ENTCS 2010»
14 years 7 months ago
Fragments-based Model Reduction: Some Case Studies
Molecular biological models usually suffer from a dramatic combinatorial blow up. Indeed, proteins form complexes and can modify each others, which leads to the formation of a hug...
Jérôme Feret
FPL
2007
Springer
80views Hardware» more  FPL 2007»
15 years 4 months ago
A Temporal Correlation Based Port Combination Methodology for Networks-on-chip on Reconfigurable Systems
A temporal correlation based port combination algorithm that customizes the router design in Network-on-Chip (NoC) is proposed for reconfigurable systems in order to minimize req...
Daihan Wang, Hiroki Matsutani, Michihiro Koibuchi,...