Results 71 to 80 of about 101,562 (188)
BMC Medical Research MethodologyBackground Patient stratification is the cornerstone of numerous health investigations, serving to enhance the estimation of treatment efficacy and facilitating patient matching.
Judith Lambert +3 more
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Enhanced Latent Semantic Indexing Using Cosine Similarity Measures for Medical Application
The International Arab Journal of Information Technology, 2020 The Vector Space Model (VSM) is widely used in data mining and Information Retrieval (IR) systems as a common document representation model. However, there are some challenges to this technique such as high dimensional space and semantic looseness of the representation.
Fawaz Al-Anzi, Dia AbuZeina
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On the use of clustering and the MeSH controlled vocabulary to improve MEDLINE abstract search [PDF]
, 2005 Databases of genomic documents contain substantial amounts of structured information in addition to the texts of titles and abstracts. Unstructured information retrieval techniques fail to take advantage of the structured information available.
Blott, Stephen +3 more
core
Measuring Thematic Fit with Distributional Feature Overlap
, 2017 In this paper, we introduce a new distributional method for modeling predicate-argument thematic fit judgments. We use a syntax-based DSM to build a prototypical representation of verb-specific roles: for every verb, we extract the most salient second ...
Blache, Philippe +3 more
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A theoretical development of improved cosine similarity measure for interval valued intuitionistic fuzzy sets and its applications. [PDF]
J Ambient Intell Humaniz Comput, 2022 Rathnasabapathy P, Palanisami D.
europepmc +1 more source
Diversity and Polarization of Research Performance: Evidence from Hungary [PDF]
, 2010 Measuring the intellectual diversity encoded in publication records as a proxy to the degree of interdisciplinarity has recently received considerable attention in the science mapping community.
Kampis, George, Soos, Sandor
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Cubic Spherical Neutrosophic Sets and Selection of Electric Truck Using Cosine Similarity Measure [PDF]
Neutrosophic Sets and SystemsThe concepts of cubic spherical neutrosophic sets (CSNSs), introduced and investigated by Gomathi et al. [5], offer a geometric representation of collection of neutrosophic sets (NSs), enhancing their ability to capture uncertainty.
S. Krishnaprakash +2 more
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IEEE AccessCosine similarity measures are essential in situations that assess the similarities and differences between two potential outcomes. For different extensions of fuzzy sets, soft sets, and hypersoft sets, a wide range of similarity metrics have been ...
Muhammad Sajid +3 more
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What a Nerd! Beating Students and Vector Cosine in the ESL and TOEFL Datasets
, 2016 In this paper, we claim that Vector Cosine, which is generally considered one of the most efficient unsupervised measures for identifying word similarity in Vector Space Models, can be outperformed by a completely unsupervised measure that evaluates the ...
Chiu, Tin-Shing +4 more
core
A New Approach to Change Vector Analysis Using Distance and Similarity Measures
Remote Sensing, 2011 The need to monitor the Earth’s surface over a range of spatial and temporal scales is fundamental in ecosystems planning and management. Change-Vector Analysis (CVA) is a bi-temporal method of change detection that considers the magnitude and direction ...
Alan R. Gillespie +4 more
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