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» Passage time distributions in large Markov chains
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CDC
2009
IEEE
156views Control Systems» more  CDC 2009»
13 years 11 months ago
Input design using Markov chains for system identification
This paper studies the input design problem for system identification where time domain constraints have to be considered. A finite Markov chain is used to model the input of the s...
Chiara Brighenti, Bo Wahlberg, Cristian R. Rojas
NIPS
2003
13 years 8 months ago
Wormholes Improve Contrastive Divergence
In models that define probabilities via energies, maximum likelihood learning typically involves using Markov Chain Monte Carlo to sample from the model’s distribution. If the ...
Geoffrey E. Hinton, Max Welling, Andriy Mnih
CIKM
2008
Springer
13 years 9 months ago
Passage relevance models for genomics search
We present a passage relevance model for integrating syntactic and semantic evidence of biomedical concepts and topics using a probabilistic graphical model. Component models of t...
Jay Urbain, Ophir Frieder, Nazli Goharian
CORR
2011
Springer
189views Education» more  CORR 2011»
12 years 11 months ago
Metastability of Logit Dynamics for Coordination Games
Logit Dynamics [Blume, Games and Economic Behavior, 1993] is a randomized best response dynamics for strategic games: at every time step a player is selected uniformly at random a...
Vincenzo Auletta, Diodato Ferraioli, Francesco Pas...
ICCAD
2002
IEEE
122views Hardware» more  ICCAD 2002»
14 years 4 months ago
Schedulability analysis of multiprocessor real-time applications with stochastic task execution times
This paper presents an approach to the analysis of task sets implemented on multiprocessor systems, when the task execution times are specified as generalized probability distrib...
Sorin Manolache, Petru Eles, Zebo Peng