نتایج جستجو برای: analytical matching

تعداد نتایج: 269283  

2003
RICHARD A. LEVINE

Nuisance parameters do not pose any problems in Bayesian inference as marginalisation allows for study of the posterior distribution solely in terms of the parameter of interest. However, no general solution is available for removing nuisance parameters under the frequentist paradigm. In this paper, we merge the two approaches to construct a general procedure for frequentist elimination of nuis...

2017
Yannan Hu Frank J. van Lenthe Rasmus Hoffmann Karen van Hedel Johan P. Mackenbach

BACKGROUND The scientific evidence-base for policies to tackle health inequalities is limited. Natural policy experiments (NPE) have drawn increasing attention as a means to evaluating the effects of policies on health. Several analytical methods can be used to evaluate the outcomes of NPEs in terms of average population health, but it is unclear whether they can also be used to assess the outc...

1998
L. Serafini J. B. Rosenzweig

We. describe how to achieve minimum transverse emittance in RF photoinjectors by applying theoretical predictions from a fully analytical model of beam dynamics in a split injector. This device consists of a short two cell (full+partial) RF gun followed by a drift and a booster RF linac. Matching the beam in the booster to the invariant envelope, an equilibrium mode of laminar beam flow, is sho...

2003
Vahid Tabatabaee Leandros Tassiulas

Title of Dissertation: SCHEDULING AND RATE PROVISIONING FOR INPUT-BUFFERED CELL BASED SWITCH FABRICS Vahid Tabatabaee, Doctor of Philosophy, 2003 Dissertation directed by: Professor Leandros Tassiulas Department of Electrical and Computer Engineering In this dissertation, we develop and analyze algorithms for scheduling in inputbuffered switch fabrics. We have introduced new deterministic and r...

Journal: :IEEE transactions on neural networks 1999
David P. Helmbold Jyrki Kivinen Manfred K. Warmuth

We analyze and compare the well-known gradient descent algorithm and the more recent exponentiated gradient algorithm for training a single neuron with an arbitrary transfer function. Both algorithms are easily generalized to larger neural networks, and the generalization of gradient descent is the standard backpropagation algorithm. In this paper we prove worst-case loss bounds for both algori...

Image matching is a critical process in various photogrammetry, computer vision and remote sensing applications such as image registration, 3D model reconstruction, change detection, image fusion, pattern recognition, autonomous navigation, and digital elevation model (DEM) generation and orientation. The primary goal of the image matching process is to establish the correspondence between two ...

1999
B. J. Huang J. M. Chang C. P. Wang V. A. Petrenko

A 1-D analysis for the prediction of ejector performance at critical-mode operation is carried out in the present study. Constant-pressure mixing is assumed to occur inside the constant-area section of the ejector and the entrained flow at choking condition is analyzed. We also carried out an experiment using 11 ejectors and R141b as the working fluid to verify the analytical results. The test ...

2009
Julia A. Ekstrom Oran R. Young

This paper presents a quantitative analytical method for measuring functional fit between a specific ecosystem and a defined set of institutions. Functional misfits, the focus of this paper, can arise as a result of gaps in governance—a lack of institutional provision for a socioecological system component or link. The method measures such misfit using a similarity metric (simple matching). Thi...

Journal: :Journal of forensic sciences 2001
D L Duewer M C Kline J W Redman P J Newall D J Reeder

The Mixed Stain Study 1 (MSS1, Apr.-Nov. 1997) and Mixed Stain Study 2 (MSS2, Jan.-May 1999) evaluated multiplexed short-tandem repeat (STR) DNA typing systems with samples containing DNA from more than one source. These interlaboratory challenge studies evaluated forensic STR measurement, interpretation, and reporting practice using well-characterized samples of very different analytical diffi...

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