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» Randomness, Stochasticity and Approximations
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NECO
1998
121views more  NECO 1998»
13 years 9 months ago
Nonlinear Time-Series Prediction with Missing and Noisy Data
We derive solutions for the problem of missing and noisy data in nonlinear timeseries prediction from a probabilistic point of view. We discuss different approximations to the so...
Volker Tresp, Reimar Hofmann
IMCSIT
2010
13 years 6 months ago
PSO based modeling of Takagi-Sugeno fuzzy motion controller for dynamic object tracking with mobile platform
Modeling of optimized motion controller is one of the interesting problems in the context of behavior based mobile robotics. Behavior based mobile robots should have an ideal contr...
Meenakshi Gupta, Laxmidhar Behera, Venkatesh K. S.
AUTOMATICA
2011
13 years 4 months ago
A frequentist approach to mapping under uncertainty
An asynchronous stochastic approximation based (Frequentist) approach is proposed for mapping using noisy mobile sensors under two different scenarios: 1) perfectly known sensor ...
Suman Chakravorty, R. Saha
CORR
2010
Springer
81views Education» more  CORR 2010»
13 years 4 months ago
Enumerating randoms
We investigate enumerability properties for classes of random reals which permit recursive approximations from below, or left-r.e. reals. In addition to pinpointing the complexity...
Bjørn Kjos-Hanssen, Frank Stephan, Jason Te...
FOCM
2007
76views more  FOCM 2007»
13 years 9 months ago
Risk Bounds for Random Regression Graphs
We consider the regression problem and describe an algorithm approximating the regression function by estimators piecewise constant on the elements of an adaptive partition. The pa...
Andrea Caponnetto, Steve Smale