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SAC
2008
ACM
14 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
83
Voted
DATE
1999
IEEE
144views Hardware» more  DATE 1999»
15 years 1 months ago
A Method to Diagnose Faults in Linear Analog Circuits using an Adaptive Tester
This work presents a new diagnosis method for use in an adaptive analog tester. The tester is able to detect faults in any linear circuit by learning a reference behavior in a fir...
Érika F. Cota, Luigi Carro, Marcelo Lubasze...
ASPDAC
2010
ACM
120views Hardware» more  ASPDAC 2010»
14 years 7 months ago
Wideband reduced modeling of interconnect circuits by adaptive complex-valued sampling method
In this paper, we propose a new wideband model order reduction method for interconnect circuits by using a novel adaptive sampling and error estimation scheme. We try to address t...
Hai Wang, Sheldon X.-D. Tan, Gengsheng Chen
IJSYSC
1998
93views more  IJSYSC 1998»
14 years 9 months ago
A new adaptive control scheme with arbitrary nonlinear inputs
This paper presents a new analysis and design method for model reference adaptive control(MRAC) with arbitrary bounded input nonlinearities. The adaptive algorithm ensures that th...
Wen Yu, Manuel de la Sen
ML
2002
ACM
178views Machine Learning» more  ML 2002»
14 years 9 months ago
Metric-Based Methods for Adaptive Model Selection and Regularization
We present a general approach to model selection and regularization that exploits unlabeled data to adaptively control hypothesis complexity in supervised learning tasks. The idea ...
Dale Schuurmans, Finnegan Southey