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VALUETOOLS
2006
ACM
164views Hardware» more  VALUETOOLS 2006»
14 years 3 months ago
Analysis of Markov reward models using zero-suppressed multi-terminal BDDs
High-level stochastic description methods such as stochastic Petri nets, stochastic UML statecharts etc., together with specifications of performance variables (PVs), enable a co...
Kai Lampka, Markus Siegle
ICML
2010
IEEE
13 years 10 months ago
Probabilistic Backward and Forward Reasoning in Stochastic Relational Worlds
Inference in graphical models has emerged as a promising technique for planning. A recent approach to decision-theoretic planning in relational domains uses forward inference in d...
Tobias Lang, Marc Toussaint
CRV
2009
IEEE
237views Robotics» more  CRV 2009»
14 years 3 months ago
SEC: Stochastic Ensemble Consensus Approach to Unsupervised SAR Sea-Ice Segmentation
The use of synthetic aperture radar (SAR) has become an integral part of sea-ice monitoring and analysis in the polar regions. An important task in sea-ice analysis is to segment ...
Alexander Wong, David A. Clausi, Paul W. Fieguth
ISCAS
2008
IEEE
132views Hardware» more  ISCAS 2008»
14 years 3 months ago
Thermal aware clock synthesis considering stochastic variation and correlations
— In this paper, we have proposed a thermal aware routing based parameterization to generate a clock model that takes the stochastic temperature variation into consideration. The...
Chunchen Liu, Ruei-Xi Chen, Jichang Tan, Sharon Fa...
ICASSP
2011
IEEE
13 years 24 days ago
Langevin and hessian with fisher approximation stochastic sampling for parameter estimation of structured covariance
We have studied two efficient sampling methods, Langevin and Hessian adapted Metropolis Hastings (MH), applied to a parameter estimation problem of the mathematical model (Lorent...
Cornelia Vacar, Jean-François Giovannelli, ...