نتایج جستجو برای: ranking strategies

تعداد نتایج: 421430  

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه فردوسی مشهد - دانشکده ادبیات و علوم انسانی دکتر علی شریعتی 1393

the purpose of the present study was to investigate the relationship between fear of negative evaluation (fne) and communication strategies (css) among iranian efl learners. it was aimed to examine the differences in the use of communication strategies between speakers with high or low degree of fear of negative evaluation. the current study was a case study consisting of 10 english learners at...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه اصفهان - دانشکده زبانهای خارجی 1389

this study investigates the strategies native english and persian speakers employ for expressing gratitude in different situations. the strategies of persian efl learners are also compared with english strategies in order to find the differences that may exist between these two languages. social status and size of imposition of the favor are social variables which are investigated in detail for...

Journal: :Social Choice and Welfare 2009
Rolf Aaberge

Ranking Intersecting Lorenz Curves This paper is concerned with the problem of ranking Lorenz curves in situations where the Lorenz curves intersect and no unambiguous ranking can be attained without introducing weaker ranking criteria than first-degree Lorenz dominance. To deal with such situations two alternative sequences of nested dominance criteria between Lorenz curves are introduced. At ...

Journal: :Neurocomputing 2010
Feng Zhao Licheng Jiao Hanqiang Liu Xinbo Gao Maoguo Gong

Ng–Jordan–Weiss (NJW) method is one of the most widely used spectral clustering algorithms. For a K clustering problem, this method partitions data using the largest K eigenvectors of the normalized affinity matrix derived from the dataset. It has been demonstrated that the spectral relaxation solution of K-way grouping is located on the subspace of the largest K eigenvectors. However, we find ...

Journal: :Semantic Web 2016
Anila Sahar Butt Armin Haller Lexing Xie

With the recent growth of Linked Data on the Web there is an increased need for knowledge engineers to find ontologies to describe their data. Only limited work exists that addresses the problem of searching and ranking ontologies based on a given query term. In this paper we introduce DWRank, a two-staged bi-directional graph walk ranking algorithm for concepts in ontologies. DWRank characteri...

2014
Anila Sahar Butt Armin Haller Lexing Xie

With the recent growth of Linked Data on the Web there is an increased need for knowledge engineers to find ontologies to describe their data. Only limited work exists that addresses the problem of searching and ranking ontologies based on a given query term. In this paper we introduce DWRank, a two-staged bi-directional graph walk ranking algorithm for concepts in ontologies. DWRank characteri...

2012
Ray M. Marín Jiří Vaníček

It is generally accepted that filtering microRNA (miRNA) target predictions by conservation or by accessibility can reduce the false discovery rate. However, these two strategies are usually not exploited in a combined and flexible manner. Here, we introduce PACCMIT, a flexible method that filters miRNA binding sites by their conservation, accessibility, or both. The improvement in performance ...

Journal: :journal of industrial strategic management 2012
a. srayaei s. mehrani

the present study aims to evaluate and rank marketing appropriate strategies so as to capture sustainable competitive advantage in 3 to5-star private hotels of mazandaran province. due to a comprehensive overview of literature related to marketing strategies, the features and capabilities available in the non-governmental hotels and a conceptual model based on 3and 5-star indicators (capabiliti...

Journal: :CoRR 2018
Girish Kumar Matthew Henderson Shannon Chan Hoang Nguyen Lucas Ngoo

Sellers in user to user marketplaces can be inundated with questions from potential buyers. Answers are often already available in the product description. We collected a dataset of around 590K such questions and answers from conversations in an online marketplace. We propose a question answering system that selects a sentence from the product description using a neural-network ranking model. W...

2016
Kevin Ong Ruey-Cheng Chen Falk Scholer

[1] R-.C. Chen, D. Spina, W.B. Croft, M. Sanderson, and F. Scholer. Harnessing Semantics for Answer Sentence Retrieval. In Proceedings of ESAIR'15, 2015 [5] D. Metzler and T. Kanungo. Machine Learned Sentence Selection Strategies for QueryBiased Summarization. In Proceedings of SIGIR 2008 Learning to Rank Workshop, 2008 [7] L. Yang, Q. Ai, D. Spina, R.-C. Chen, L. Pang, W.B. Croft, J. Guo, and ...

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