Results 21 to 30 of about 204,399 (316)
Adaptive Cardinality Estimation
CoRR, 2017 In this paper we address cardinality estimation problem which is an important subproblem in query optimization. Query optimization is a part of every relational DBMS responsible for finding the best way of the execution for the given query. These ways are called plans.
Oleg Ivanov, Sergey Bartunov
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A New Adaptive Constrained LMS Time Delay Estimation Algorithm [PDF]
, 2011 In this paper, a new adaptive constrained LMS time delay estimation (TDE) algorithm is devised. It is known that in the TDE problem, the time differences between relevant sensors can be modeled as a finite impulse response (FIR) filter whose weight ...
陳巽璋; Lin, S.N.
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International Journal of Prognostics and Health Management, 2017 This paper deals with the design of a decentralized fault diagnosis and prognosis scheme for interconnected nonlinear discrete-time systems which are modelled as the interconnection of several subsystems.
H. Ferdowsi, S. Jagannathan
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Robust adaptive estimators for nonlinear systems [PDF]
, 2013 This paper is concerned with the development of new adaptive nonlinear estimators which incorporate adaptive estimation techniques for system noise statistics with the robust technique.
R. Katebi +3 more
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An Enhanced Adaptive Set-Membership Filter for Nonlinear Ellipsoidal Estimation [PDF]
, 2007 The extended set-membership filter (ESMF) for nonlinear ellipsoidal estimation suffers from numerical instability, computation complexity, as well as the difficulty in filter parameter selection.
Liu GJ(刘光军) +2 more
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IET Radar, Sonar & Navigation, 2022 Bearing‐only tracking of an underwater uncooperative target is essential to defend the sea territory. Considering the influences by uncertain underwater environment, the purpose of this work is to estimate 2‐D locations and velocities of an interested ...
Xianghao Hou +4 more
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Convergence of simple adaptive Galerkin schemes based on h − h/2 error estimators [PDF]
, 2008 We discuss several adaptive mesh-refinement strategies based on (h − h/2)-error estimation. This class of adaptivemethods is particularly popular in practise since it is problem independent and requires virtually no implementational overhead.
Ortner, C. +7 more
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Improving the adaptive moment estimation optimization methods for modern machine learning [PDF]
, 2020 Barner, Kenneth E.Optimization Algorithms for Neural Networks (NNs) have become a crucial and fundamental key in Artificial Intelligence. Inside Neural Networks architectures, adapting learning rates via an optimizer is a fundamental step in training ...
Alblwi, Abdalrahman
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IEEE Access, 2019 Recently, multi-sensor navigation has emerged as a viable approach in autonomous vehicles' development. Kalman filtering has been widely applied in multi-sensor data fusion, and researchers are trialing variants of the Kalman Filter (KF) to improve the ...
Wenwen Liu +2 more
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Function estimation with locally adaptive dynamic models [PDF]
, 2001 We present a nonparametric Bayesian method for fitting unsmooth and highly oscillating functions, which is based on a locally adaptive hierarchical extension of standard dynamic or state space models.
Lang, S. +2 more
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