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SAC
2008
ACM
13 years 9 months ago
Adaptive methods for sequential importance sampling with application to state space models
Abstract. In this paper we discuss new adaptive proposal strategies for sequential Monte Carlo algorithms--also known as particle filters--relying on new criteria evaluating the qu...
Julien Cornebise, Eric Moulines, Jimmy Olsson
INFORMATICALT
2011
112views more  INFORMATICALT 2011»
13 years 5 months ago
The Minimum Density Power Divergence Approach in Building Robust Regression Models
It is well known that in situations involving the study of large datasets where influential observations or outliers maybe present, regression models based on the Maximum Likeliho...
Alessandra Durio, Ennio Davide Isaia
ICCS
2007
Springer
14 years 4 months ago
Modeling of Carrier Transport in Nanowires
Abstract. We consider a physical model of ultrafast evolution of an initial electron distribution in a quantum wire. The electron evolution is described by a quantum-kinetic equati...
Todor V. Gurov, Emanouil I. Atanassov, Mihail Nedj...
ICRA
2000
IEEE
99views Robotics» more  ICRA 2000»
14 years 2 months ago
Sensor Resetting Localization for Poorly Modelled Mobile Robots
We present a new localization algorithm called Sensor Resetting Localization which is an extension of Monte Carlo Localization. The algorithm adds sensor based resampling to Monte...
Scott Lenser, Manuela M. Veloso
STOC
1998
ACM
135views Algorithms» more  STOC 1998»
14 years 2 months ago
Checking Polynomial Identities over any Field: Towards a Derandomization?
We present a Monte Carlo algorithm for testing multivariate polynomial identities over any field using fewer random bits than other methods. To test if a polynomial P(x1 ::: xn) ...
Daniel Lewin, Salil P. Vadhan