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DSN
2011
IEEE
14 years 6 months ago
Modeling stream processing applications for dependability evaluation
— This paper describes a modeling framework for evaluating the impact of faults on the output of streaming ions. Our model is based on three abstractions: stream operators, strea...
Gabriela Jacques-Silva, Zbigniew Kalbarczyk, Bugra...

Publication
233views
14 years 5 months ago
Sparse reward processes
We introduce a class of learning problems where the agent is presented with a series of tasks. Intuitively, if there is relation among those tasks, then the information gained duri...
Christos Dimitrakakis
GECCO
2005
Springer
122views Optimization» more  GECCO 2005»
16 years 8 hour ago
An enhanced GA to improve the search process reliability in tuning of control systems
Evolutionary Algorithms (EAs) have been largely applied to optimisation and synthesis of controllers. In spite of several successful applications and competitive solutions, the st...
Andrea Soltoggio
PAMI
2010
238views more  PAMI 2010»
15 years 4 months ago
Tracking Motion, Deformation, and Texture Using Conditionally Gaussian Processes
—We present a generative model and inference algorithm for 3D nonrigid object tracking. The model, which we call G-flow, enables the joint inference of 3D position, orientation, ...
Tim K. Marks, John R. Hershey, Javier R. Movellan
KI
2007
Springer
16 years 19 days ago
Extending Markov Logic to Model Probability Distributions in Relational Domains
Abstract. Markov logic, as a highly expressive representation formalism that essentially combines the semantics of probabilistic graphical models with the full power of first-orde...
Dominik Jain, Bernhard Kirchlechner, Michael Beetz