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115
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CDC
2008
IEEE
157views Control Systems» more  CDC 2008»
15 years 29 days ago
A hidden Markov filtering approach to multiple change-point models
We describe a hidden Markov modeling approach to multiple change-points that has attractive computational and statistical properties. This approach yields explicit recursive filter...
Tze Leung Lai, Haipeng Xing
90
Voted
NECO
2002
105views more  NECO 2002»
15 years 13 days ago
Multiple Model-Based Reinforcement Learning
We propose a modular reinforcement learning architecture for non-linear, nonstationary control tasks, which we call multiple model-based reinforcement learning (MMRL). The basic i...
Kenji Doya, Kazuyuki Samejima, Ken-ichi Katagiri, ...
149
Voted
BIBE
2009
IEEE
252views Bioinformatics» more  BIBE 2009»
15 years 7 months ago
Multi-Agents System to Model Cell Signalling by Using Fuzzy Cognitive Maps. Application to Computer Simulation of Multiple Myelo
—In order to simulate biological processes, we use multi-agents system. However, modelling cell behavior in systems biology is complex and may be based on intracellular biochemic...
Vincent Rodin, Gabriel Querrec, Pascal Ballet, Fra...
ASPDAC
2008
ACM
169views Hardware» more  ASPDAC 2008»
15 years 2 months ago
Analytical model for the impact of multiple input switching noise on timing
The timing models used in current Static Timing Analysis tools use gate delays only for single input switching events. It is well known that the temporal proximity of signals arriv...
Rajeshwary Tayade, Sani R. Nassif, Jacob A. Abraha...
DAC
2008
ACM
16 years 1 months ago
Driver waveform computation for timing analysis with multiple voltage threshold driver models
This paper introduces an accurate and efficient electrical analysis of logic gates modeled as Multiple Voltage Threshold Models (MVTM) loaded by the associated interconnect. MVTMs...
Peter Feldmann, Soroush Abbaspour, Debjit Sinha, G...