نتایج جستجو برای: rank performance
تعداد نتایج: 1114119 فیلتر نتایج به سال:
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...
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...
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’...
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 ...
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...
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...
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...
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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