نتایج جستجو برای: rank performance

تعداد نتایج: 1114119  

Journal: :Academic Medicine 1985

Journal: :Discrete Mathematics 2002

Journal: :international journal of data envelopment analysis 0
sima madadi ph.d. student applied mathematics, operation research trends, department of mathematics, islamic azad university, gorgan branch, gorgan, iran. masoume yazdanpanah maryaki ph.d. student applied mathematics, operation reasearch trends, department of mathematics, lahijan branch, islamic azad university, lahijan, iran. mohammad reza moazami goudarzi assistant prof, department of mathematics, borujerd branch, islamic azad university, borujerd, iran.

data envelopment analysis provides a theoretical framework for analyzing performance and measuring efficiency. using data envelopment analysis, we can evaluate units and organizations and discuss about their efficiency or inefficiency. in performance assessment of organizations, the most important goal is to rank the units according to their efficiency. since ranking decision making units in da...

2016
Francesco Del Carratore

January 15, 2017 Version 3.0.0 Date 2016-09-16 Title Rank Product method for identifying differentially expressed genes with application in meta-analysis Author Francesco Del Carratore , Andris Janckevics Fangxin Hong , Ben Wittner , Rainer Breitling <r.breitling...

Journal: :JNW 2012
Qinwen Han Lingqiu Zeng

Based on the signal-noise subspace theory, a method of low-rank channel estimation for Orthogonal Frequency Division Multiplexing (OFDM) is presented in this paper. The theory of low-rank linear estimation based on Singular Value Decomposition (SVD) in minimum meansquared error (LMMSE) estimators has been analyzed. A new rank-choose criterion for low-rank approximation is raised. The algorithm’...

Journal: :Neural computation 2005
Koby Crammer Yoram Singer

We discuss the problem of ranking instances. In our framework, each instance is associated with a rank or a rating, which is an integer in 1 to k. Our goal is to find a rank-prediction rule that assigns each instance a rank that is as close as possible to the instance's true rank. We discuss a group of closely related online algorithms, analyze their performance in the mistake-bound model, and ...

2005
Son Ku Kim Cheng-Zhong Qin Yan Yu

In many principal-agent relations, objective measures of the agents' performance are not available. In those cases, the principals have to rely on subjective performance measures for designing incentive schemes. Incentive schemes based on subjective performance measures open the possibilities for in uencing activities by the agents. This paper extends Lazear and Rosen's (1981) model of rank-ord...

2015
Isaac Odun-Ayo

Transparency in the performance appraisal and ranking of service personnel applying for promotion in any organisation is important for efficient human resource management. In this paper, an approach for the promotion screening and ranking of officers in Nigerian Air Force due for a particular rank is discussed. The approach uses fuzzy logic concepts to classify the officers for ranking decision...

2001
Koby Crammer Yoram Singer

We discuss the problem of ranking instances. In our framework each instance is associated with a rank or a rating, which is an integer from 1 to k. Our goal is to find a rank-prediction rule that assigns each instance a rank which is as close as possible to the instance 's true rank. We describe a simple and efficient online algorithm, analyze its performance in the mistake bound model, and pro...

Journal: :CoRR 2015
Martin Sundin Cristian R. Rojas Magnus Jansson Saikat Chatterjee

We develop latent variable models for Bayesian learning based low-rank matrix completion and reconstruction from linear measurements. For under-determined systems, the developed methods are shown to reconstruct low-rank matrices when neither the rank nor the noise power is known a-priori. We derive relations between the latent variable models and several low-rank promoting penalty functions. Th...

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