نتایج جستجو برای: garret ranking technique constrains score contract system

تعداد نتایج: 2939057  

Journal: :international journal of environmental research 2015
s. sedighian s. h. kim s. y. cho m. j. kim d. h. kim

indoor radon concentration (irc) is among the emerging environmental and health issues in republic of korea. due to lack of epidemiological studies and insufficient public awareness about radon, effective parameter ranking system is required to establish protocols for future field sampling and settlement construction. this research propose the irc parameter ranking system based on field measure...

A. Amirteimoori S. Kordrostami

Super eciency data envelopment analysis(DEA) model can be used in ranking the performanceof ecient decision making units(DMUs). In DEA, non-extreme ecient unitshave a super eciency score one and the existing super eciency DEA models do notprovide a complete ranking about these units. In this paper, we will propose a methodfor ranking the performance of the extreme and non-extreme ecient units.

2009
Weiqun Zheng Gary Bundell

Improving model-based component testability can further model-based approaches to software component testing (SCT) for desirable testing effectiveness. Component contracts are useful testing-support artefacts to improve component testability. This paper presents a new contract-based SCT technique, Test by Contract (TbC), which extends the Design by Contract concept to the SCT domain, and levera...

2016
James A. Dearden Rajdeep Grewal Gary L. Lilien

We develop a multi-period theoretical model to characterize the relationship between a publication that ranks universities and prospective attendees – high school students – who might view the ranking and use it to help decide which university to attend. We assert that published rankings not only offer information about the objective quality of universities, but also have an effect on the prest...

Journal: :Asian Journal of Agricultural Extension, Economics and Sociology 2022

Combining the human waste with municipal would pave way to much needed solid management strategy in urban areas. The co-compost produced out of this can be used successfully for crop production. objective study is detect benefits and constraints faced by farmers applying field. 50 as a sample developed Rural Development Organization (RDO), coonoor were taken study. To examine objectives, well-s...

Journal: :World Rabbit Science 2023

Reducing malnutrition and poverty remains at the centre of policy. Rabbit rearing, great economic importance, is a critical pathway to achieving this. Good knowledge profitability rabbit production its driving factors can enhance participation in production. Thus, this study examined performance (profitability) production, influencing barriers. Descriptive statistics, analysis, Tobit regression...

2017
Suzan Verberne Lou Boves Nelleke Oostdijk Peter-Arno Coppen

In this paper, w e extend an existing para­ graph retrieval approach to why-question answ ering. The starting-point is a system that retrieves a relevant answ er for 73% o f the test questions. However, in 41% o f these cases, the h ighest ranked relevant answ er is no t ranked in the top-10. We aim to im prove the ranking by adding a re ­ ranking m odule. For re-ranking w e con­ sider 31 featu...

2014
Rakesh Kumar Roshan Piyush Singh

Ranking is a technique to categorize & finding the best option in the market. When number of best option is available in the market so its difficult to getting the best option is always a problem. In this paper we proposed a technique to optimize the ranking and its availability to check performance factor in order to maintained high ranking and quality of popular option in the market. We enhan...

2012
Khuan Yew Lee Jer Lang Hong

Social networks need to manage and control the drift of insane amount of information by filtering and ranking everything in order to ensure they are right there for users’ viewing pleasure. However, the realization of social networks ranking is currently dictated by fairly straightforward optimization algorithms. Hence, there is a need for a newly enhanced and improved ranking algorithm to be f...

2018
Yongkai Wu Lu Zhang Xintao Wu

Predictive models learned from historical data are widely used to help companies and organizations make decisions. However, they may digitally unfairly treat unwanted groups, raising concerns about fairness and discrimination. In this paper, we study the fairness-aware ranking problem which aims to discover discrimination in ranked datasets and reconstruct the fair ranking. Existing methods in ...

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