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JCST
2010
153views more  JCST 2010»
13 years 4 months ago
Model Failure and Context Switching Using Logic-Based Stochastic Models
Abstract We define a notion of context that represents invariant, stable-over-time behavior in an environment and we propose an algorithm for detecting context changes in a stream ...
Nikita A. Sakhanenko, George F. Luger
CVPR
2005
IEEE
14 years 12 months ago
MosaicShape: Stochastic Region Grouping with Shape Prior
A method that combines shape-based object recognition and image segmentation is proposed for shape retrieval from images. Given a shape prior represented in a multiscale curvature...
Jingbin Wang, Erdan Gu, Margrit Betke
CLEIEJ
2006
88views more  CLEIEJ 2006»
13 years 10 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
IFIP
2005
Springer
14 years 3 months ago
Multi-Stage Stochastic Electricity Portfolio Optimization in Liberalized Energy Markets
In this paper we analyze the electricity portfolio problem of a big consumer in a multi-stage stochastic programming framework. Stochasticity enters the model via the uncertain spo...
Ronald Hochreiter, Georg Ch. Pflug, David Wozabal
SIAMCO
2000
104views more  SIAMCO 2000»
13 years 9 months ago
Law of the Iterated Logarithm for a Constant-Gain Linear Stochastic Gradient Algorithm
We study almost-sure limiting properties, taken as 0, of the finite horizon sequence of random estimates { 0, 1, 2, . . . , T/ } for the linear stochastic gradient algorithm n+1 ...
J. A. Joslin, A. J. Heunis