Results 41 to 50 of about 4,861,455 (309)
, 2020 Least-square means of five tobacco-specific N’-nitrosamines in snus categorized by region and product type.
Hang T. Tran (8308548) +10 more
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The General Least Square Deviation OWA Operator Problem
Mathematics, 2019 A crucial issue in applying the ordered weighted averaging (OWA) operator for decision making is the determination of the associated weights. This paper proposes a general least convex deviation model for OWA operators which attempts to obtain the ...
Dug Hun Hong, Sangheon Han
doaj +1 more source
Least Square Homotopy Perturbation Method for Ordinary Differential Equations
Journal of Mathematics, 2021 In this study, a new modification of the homotopy perturbation method (HPM) is introduced for various order boundary value problems (BVPs). In this modification, HPM is hybrid with least square optimizer and named as the least square homotopy ...
Mubashir Qayyum, Imbsat Oscar
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Stream Flow Forecasting Using Least Square Support Vector Regression [PDF]
Journal of Soft Computing in Civil Engineering, 2018 Accurate forecasting of streamflow for different lead-times is useful in the design of almost all hydraulic structures. The Support Vector Machines (SVMs) use a hypothetical space of linear functions in a kernel-induced higher dimensional feature space ...
Shreenivas Londhe, Seema Gavraskar
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Combinatorics of least-squares trees [PDF]
Proceedings of the National Academy of Sciences, 2008 A recurring theme in the least-squares approach to phylogenetics has been the discovery of elegant combinatorial formulas for the least-squares estimates of edge lengths. These formulas have proved useful for the development of efficient algorithms, and have also been important for understanding connections among popular phylogeny algorithms.
Mihaescu, Radu, Pachter, Lior
openaire +5 more sources
A steady-state analysis of the ε-normalized sign-error least mean square (NSLMS) adaptive algorithm
, 2011 In this work, expressions are derived for the steady-state excess-mean-square error (EMSE) of the ε-normalized sign-error least mean square (NSLMS) adaptive algorithm for both cases of real- and complex-valued data.
Zerguine, A. +3 more
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Incremental Learning Algorithm of Least Square Twin KSVC
MATEC Web of Conferences, 2016 In view of the batch implementations of standard support vector machine must be retrained from scratch every time when the training set is incremental modified, an incremental learning algorithm based on least squares twin multi-class classification ...
Wang Yaru +3 more
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PERFORMANCE ANALYSIS OF PILOT BASED CHANNEL ESTIMATION TECHNIQUES IN MB OFDM SYSTEMS [PDF]
ICTACT Journal on Communication Technology, 2011 Ultra wideband (UWB) communication is mainly used for short range of communication in wireless personal area networks. Orthogonal Frequency Division Multiplexing (OFDM) is being used as a key physical layer technology for Fourth Generation (4G) wireless ...
M. Madheswaran, C. Venkatesh
doaj
Local moving least square-one-dimensional integrated radial basis function networks technique for incompressible viscous flows [PDF]
, 2012 This paper presents a local moving least square-one-dimensional integrated radial basis function networks method for solving incompressible viscous flow problems using stream function-vorticity formulation.
Ngo-Cong, D. +3 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Allogeneic hematopoietic stem cell transplantation (alloHSCT) is an essential therapy for several malignant and nonmalignant diseases, but relapse and graft loss remain the principal threats to its success. Routine monitoring of chimerism and minimal residual disease (MRD) enables early detection of imminent recurrence and guides ...
Carmen Junk +10 more
wiley +1 more source