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COLT
2007
Springer
15 years 4 months ago
Observational Learning in Random Networks
In the standard model of observational learning, n agents sequentially decide between two alternatives a or b, one of which is objectively superior. Their choice is based on a stoc...
Julian Lorenz, Martin Marciniszyn, Angelika Steger
ALT
2005
Springer
15 years 6 months ago
Defensive Universal Learning with Experts
This paper shows how universal learning can be achieved with expert advice. To this aim, we specify an experts algorithm with the following characteristics: (a) it uses only feedba...
Jan Poland, Marcus Hutter
CAD
2006
Springer
14 years 9 months ago
Fast computation of inertia through affinely extended Euler tensor
We introduce an affine extension of the Euler tensor which encompasses all of the inertia properties of interest in a convenient linear format, and we show how it transforms under...
Antonio DiCarlo, Alberto Paoluzzi
GRAPHICSINTERFACE
2003
14 years 11 months ago
Toward Modeling of a Suturing Task
In this paper we present our initial work on simulating suture and suturing using mass-spring models. Various models for simulating suture were studied, and a simple linear mass-s...
Matt LeDuc, Shahram Payandeh, John Dill
ICCV
2009
IEEE
16 years 2 months ago
Time Series Prediction by Chaotic Modeling of Nonlinear Dynamical Systems
We use concepts from chaos theory in order to model nonlinear dynamical systems that exhibit deterministic behavior. Observed time series from such a system can be embedded into...
Arslan Basharat, Mubarak Shah