نتایج جستجو برای: rank performance
تعداد نتایج: 1114119 فیلتر نتایج به سال:
Learning ranking functions is crucial for solving many problems, ranging from document retrieval to building recommendation systems based on an individual user’s preferences or on collaborative filtering. Learning-to-rank is particularly necessary for adaptive or personalizable tasks, including email prioritization, individualized recommendation systems, personalized news clipping services and ...
This paper presents reduced-rank linearly constrained minimum variance (LCMV) beamforming algorithms based on joint iterative optimization of filters. The proposed reduced-rank scheme is based on a constrained joint iterative optimization of filters according to the minimum variance criterion. The proposed optimization procedure adjusts the parameters of a projection matrix and an adaptive redu...
heuristics are often used to provide solutions for flow shop scheduling problems.the performance of a heuristic is usually judged by comparing solutions and run times on test cases.this investigation proposes an analytical alternative ,called asymptotic convergence ,which tests the convergence of the heuristic to a lower bound as problem size grows. the test is a stronger variation of worst cas...
the study reflected in this thesis aims at finding out relationships between critical thinking (ct), and the reading sections of tofel and ielts tests. the study tries to find any relationships between the ct ability of students and their performance on reading tests of tofel and academic ielts. however, no research has ever been conducted to investigate the relationship between ct and the read...
Anxiety has always been a phenomenon of great importance among psychoanalysts. Freud, as the founder of psychoanalysis, took much notice of this phenomenon from the beginning of his career, and he was always trying to give a comprehensive explanation for this problem. Therefore, throughout his career, he modified his theories about anxiety frequently, and even one time, he changed his whole the...
In this paper, we propose a nonparametric rank-based alternative to the least-squares independent component analysis algorithm developed. The basic idea is to estimate the squared-loss mutual information, which used as the objective function of the algorithm, based on its copula density version. Therefore, no marginal densities have to be estimated. We provide empirical evaluation of th...
BACKGROUND To date, there is no published data showing a correlation between the National Residency Matching Program Ranklist position and performance in residency. PURPOSE The background was to assess whether a residency applicant selection process is able to predict the subsequent performance of candidates during residency. METHODS Over a period of 3 academic years, resident candidates we...
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