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ICRA
2007
IEEE
126views Robotics» more  ICRA 2007»
15 years 10 months ago
A formal framework for robot learning and control under model uncertainty
— While the Partially Observable Markov Decision Process (POMDP) provides a formal framework for the problem of robot control under uncertainty, it typically assumes a known and ...
Robin Jaulmes, Joelle Pineau, Doina Precup
DICTA
2007
15 years 5 months ago
Interactive 3D Model Completion
A common problem when using automated structure from motion techniques is that the object to be modelled can only be partially reconstructed from the video. This can occur because...
Anton van den Hengel, Anthony R. Dick, Thorsten Th...
JMLR
2011
142views more  JMLR 2011»
14 years 11 months ago
Causal Search in Structural Vector Autoregressive Models
This paper reviews a class of methods to perform causal inference in the framework of a structural vector autoregressive model. We consider three different settings. In the first ...
Alessio Moneta, Nadine Chlass, Doris Entner, Patri...
125
Voted
GECCO
2005
Springer
158views Optimization» more  GECCO 2005»
15 years 9 months ago
Transition models as an incremental approach for problem solving in evolutionary algorithms
This paper proposes an incremental approach for building solutions using evolutionary computation. It presents a simple evolutionary model called a Transition model in which parti...
Anne Defaweux, Tom Lenaerts, Jano I. van Hemert, J...
CSE
2009
IEEE
15 years 11 months ago
Modelling of Pseudonymity under Probabilistic Linkability Attacks
—This paper contributes to the field of measuring (un)linkability in communication systems; a subproblem of privacy protection. We propose an attacker state model for attacks on...
Martin Neubauer