نتایج جستجو برای: Performance Prediction

تعداد نتایج: 1261794  

پایان نامه :دانشگاه تربیت معلم - تهران - دانشکده ادبیات و علوم انسانی 1390

abstract the variables affecting the nature of reading comprehension can be classified into two general categories: reader’s variables, and text variables (alderson, 2000). despite the wave of research on vocabulary knowledge as reader’s variable, the role of this knowledge in c-test as a text-dependent test and its interaction with lexical cohesion of the test as a text feature has remained a...

2010
Joaquín Pérez-Iglesias Lourdes Araujo

During the last years a great number of Query Performance Prediction methods have been proposed. However, this explosion of prediction method proposals have not been paralleled by an in-depth study of suitable methods to evaluate these estimations. In this paper we analyse the current approaches to evaluate Query Performance Prediction methods, highlighting some limitations they present. We als...

2005
David H. Bailey Allan Snavely

We present an overview of current research in performance modeling, focusing on efforts underway in the Performance Evaluation Research Center (PERC). Using some new techniques, we are able to construct performance models that can be used to project the sustained performance of large-scale scientific programs on different systems, over a range of job and system sizes. Such models can be used by...

2011
Ronan Cummins Mounia Lalmas Colm O'Riordan Joemon M. Jose

Query performance prediction (QPP) aims to automatically estimate the performance of a query. Recently there have been many attempts to use these predictors to estimate whether a perturbed version of a query will outperform the original version. In essence, these approaches attempt to navigate the space of queries in a guided manner. In this paper, we perform an analysis of the query space over...

2016
Rahilsadat Hosseini RAHILSADAT HOSSEINI Yong Chen Albart Ratner

Recommended Citation Hosseini, Rahilsadat. "Wastewater's total influent estimation and performance modeling: a data driven approach.

2007
YUN ZHOU Yun Zhou James Allan David Jensen Jiwoon Jeon Vanessa Murdock Trevor Strohman Mark Smucker Giridhar Kumaran Xiaoyong Liu Xing Wei Shaolei Feng Hairong Wu Bruce Croft

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