Results 31 to 40 of about 29,542 (256)
Genomics Data, 2016 In this paper, we consider correlation coefficient, rank correlation coefficient and cosine similarity measures for evaluating similarity between Homo sapiens and monkeys.
Chinta Someswara Rao, S. Viswanadha Raju
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Textual Spatial Cosine Similarity
CoRR, 2015 When dealing with document similarity many methods exist today, like cosine similarity. More complex methods are also available based on the semantic analysis of textual information, which are computationally expensive and rarely used in the real time feeding of content as in enterprise-wide search environments.
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T1 Over Squared Proton Density Ratio to Characterize Multiple Sclerosis Lesions
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Differentiating remyelinated from demyelinated lesions in MS remains challenging without histological confirmation. This study introduces the T1‐to‐PD2 ratio (TPR) imaging approach and evaluates its ability to characterize MS lesions alongside other quantitative MRI (qMRI) metrics. Methods Thirty individuals with MS (mean age: 47.5 ±
Sarah J. Wright +10 more
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Khmer-English Parallel Web Page Extraction Based on Maximum Entropy Model [PDF]
Jisuanji gongcheng, 2016 Because of the isomerism and complexity of parallel pages,how to automatically and effectively get the bilingual parallel pages and how to improve the quality of them are key issues for constructing a parallel corpus.Take example for mining Khmer-English
MO Yuanyuan,PAN Litong,YAN Xin,YU Zhengtao,LIU Xiaohui
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SimilarNet: Pairwise Similarity Comparator Layer for Versatile Comparison
IEEE Access, 2023 In recent years, deep learning has attracted considerable attention owing to its ability to address complex problems in various fields. One notable problem is metric space learning, which is aimed at learning feature embeddings through the calculation of
Chungheon Yi, Ling Liu, Wonik Choi
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Cosine Similarity-Based Pruning for Concept Discovery [PDF]
, 2016 In this work we focus on improving the time efficiency of Inductive Logic Programming (ILP)-based concept discovery systems. Such systems have scalability issues mainly due to the evaluation of large search spaces. Evaluation of the search space cosists translating candidate concept descriptor into SQL queries, which involve a number of equijoins on ...
Abdullah Dogan +2 more
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What Do Large Language Models Know About Materials?
Advanced Engineering Materials, EarlyView.If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
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Advanced Engineering Materials, EarlyView.This study explores the lightweight potential of laser additive‐manufactured NiTi triply periodic minimal surface sheet lattices. It systematically investigates the effects of relative density and unit cell size on surface quality, deformation recovery, compression behavior, and energy absorption.
Haoming Mo +3 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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Knowledge Engineering and Data Science, 2022 Document similarity computation is an important research topic in information retrieval, and it is a crucial issue for automatic document categorization.
Merlinda Wibowo +4 more
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