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CLEIEJ
2006
88views more  CLEIEJ 2006»
14 years 12 months ago
A Stochastic Concurrent Constraint Based Framework to Model and Verify Biological Systems
Concurrent process calculi are powerful formalisms for modelling concurrent systems. The mathematical style underlying process calculi allow to both model and verify properties of...
Carlos Olarte, Camilo Rueda
TNN
2008
138views more  TNN 2008»
14 years 11 months ago
A Fast and Scalable Recurrent Neural Network Based on Stochastic Meta Descent
This brief presents an efficient and scalable online learning algorithm for recurrent neural networks (RNNs). The approach is based on the real-time recurrent learning (RTRL) algor...
Zhenzhen Liu, Itamar Elhanany
ASPDAC
2010
ACM
211views Hardware» more  ASPDAC 2010»
14 years 10 months ago
A fast analog mismatch analysis by an incremental and stochastic trajectory piecewise linear macromodel
To cope with an increasing complexity when analyzing analog mismatch in sub-90nm designs, this paper presents a fast non-MonteCarlo method to calculate mismatch in time domain. Th...
Hao Yu, Xuexin Liu, Hai Wang, Sheldon X.-D. Tan
TIT
2010
122views Education» more  TIT 2010»
14 years 6 months ago
Biological information as set-based complexity
The significant and meaningful fraction of all the potential information residing in the molecules and structures of living systems is unknown. Sets of random molecular sequences o...
David J. Galas, Matti Nykter, Gregory W. Carter, N...
ICPR
2008
IEEE
15 years 6 months ago
Layered shape matching and registration: Stochastic sampling with hierarchical graph representation
To automatically register foreground target in cluttered images, we present a novel hierarchical graph representation and a stochastic computing strategy in Bayesian framework. Th...
Xiaobai Liu, Liang Lin, Hongwei Li, Hai Jin, Wenbi...