نتایج جستجو برای: employing jaccard

تعداد نتایج: 69332  

Journal: :علوم باغبانی ایران 0
بهروز سرابی دانشجوی سابق کارشناسی ارشد پردیس کشاورزی و منابع طبیعی دانشگاه تهران محمدرضا حسندخت دانشیار پردیس کشاورزی و منابع طبیعی دانشگاه تهران محمد اسماعیل حسنی محقق دانشکده کشاورزی، غذا و منابع طبیعی، پارک تکنولوژی دانشگاه سیدنی، استرالیا تیمور رمک معصومی مربی پردیس کشاورزی و منابع طبیعی دانشگاه تهران

rapd markers were employed to assess the genetic diversity of 34 iranian wild edible asparagus (a. officinalis) genotypes as well as cv. mary washington and a. persicus. in total, 80 rapd primers were employed for pcr reactions, among which, 18 revealed reasonable polymorphism. the 18 primers produced 175 bands, of which, 160 were polymorphic (91.4% polymorphism). cluster analysis of the genoty...

2007
Shenghui Wang Antoine Isaac Lourens van der Meij Stefan Schlobach

In this paper we discuss a book annotation translation application scenario that requires multi-concept alignment – where one set of concepts is aligned to another set. Using books annotated by concepts from two vocabularies which are to be aligned, we explore two statistically-grounded measures (Jaccard and LSA) to build conversion rules which aggregate similar concepts. Different ways of lear...

Journal: :Intell. Data Anal. 2011
Victor J. Rayward-Smith

Aggregated data arises commonly from surveys and censuses where groups of individuals are studied as coherent entities. The aggregated data can take many forms including sets, intervals, distributions and histograms. The data analyst needs to measure the similarity between such aggregated data items and a range of metrics are reported in the literature to achieve this (e.g. the Jaccard metric f...

2013
Eric Chang Austin Lee Samuel Yang

We implement and extend existing methods to detect salient objects and generate a segmentation map which is used to artistically desaturate the background. We evaluate the performance using a Jaccard similarity metric against the ground truth

2010
Mustafizur Rahman Md. Rafiul Hassan Rajkumar Buyya

Enterprise Grid enables sharing and aggregation of a set of computing or storage resources connected by enterprise network, but the availability of the resources in this environment varies widely. Thus accurate prediction of the availability of these resources can significantly improve the performance of executing compute-intensive complex scientific and business applications in enterprise Grid...

Journal: :International Journal of Approximate Reasoning 2013

Journal: :Genetics and molecular research : GMR 2008
M Balestre R G Von Pinho J C Souza J L Lima

The present study compared different similarity and dissimilarity coefficients and their influence in maize inbred line clustering. Ninety maize S0:1 inbred lines were used and genotyped with 25 microsatellite markers (simple sequence repeat). The simple matching, Rogers and Tanimoto, Russel and Rao, Hamann, Jaccard, Sorensen-Dice, Ochiai, and Roger's modified distance coefficients were compare...

2013
Ricardo Terra João Brunet Luis Fernando Miranda Marco Tulio Valente Dalton Serey Guerrero Douglas Castilho Roberto da Silva Bigonha

Similarity coefficients are widely used in software engineering for several purposes, such as identification of refactoring opportunities and system remodularizations. Although the literature provides several similarity coefficients that vary on the computing strategy, there is a tendency among researchers to make habitual use of certain coefficients that others in their field are using. Conseq...

2014
M.REENA BANU

The task of data linkage is performed among entities of the same type. The one to one data linkage links one record from one table and another one record in another table. It is extremely necessary to develop linkage techniques that link between matching entities of different types and also to improve one to one linkage to one to many data linkage as well. The proposed method emphasizes on one-...

Journal: :Journal of Machine Learning Research 2013
Reza Bosagh Zadeh Ashish Goel

We present a suite of algorithms for Dimension Independent Similarity Computation (DISCO) to compute all pairwise similarities between very high-dimensional sparse vectors. All of our results are provably independent of dimension, meaning that apart from the initial cost of trivially reading in the data, all subsequent operations are independent of the dimension; thus the dimension can be very ...

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