Similarity measures
A Geometric View of Similarity Measures in Data Mining
... proper similarity measure depending on the type of data or application, then performs dimensionality reduction on the data to gain a better accuracy and ...applied measures, has been conducted on three ...
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New similarity measures for ligand-based virtual screening
... Tanimoto similarity measure is the best similarity measure for virtual screening in spite of many similarity measures that have been proposed and applied in other aspects of ...proposed ...
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AN OVERVIEW ON INTUITIONISTIC FUZZY SIMILARITY MEASURES
... define measures of information in the fuzzy environment and find their applications in a variety of ...fields. Similarity measures between fuzzy sets, as an important concept in fuzzy mathematics, ...
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Similarity measures over refinement graphs
... defining similarity over a refinement graph, which allows our similarity measures to be independent of the representation ...in similarity measures presented specialized algorithms to ...
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Using Similarity Measures to Select Pretraining Data for NER
... of similarity measures To ana- lyze how proposed similarity measures correlate to the effectiveness of pretrained word vectors and LMs for the target NER tasks, we employ the Pearson ...
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A Standardized Treatment of Binary Similarity Measures with an Introduction to k Vector Percentage Normalized Similarity
... the similarity of two or more vectors (series) of binary ...for similarity measures based on recent literature and to advance the field of similarity measures through the introduction ...
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Frequency Estimates for Statistical Word Similarity Measures
... word similarity has been used in many dif- ferent applications, to the best of our knowledge, ours is the first comparative investigation of the impact of co- occurrence frequency estimation on the performance of ...
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Intuitionistic fuzzy similarity measures and their role in classification
... and similarity measures from the ...distance measures, and we apply them to some numer- ical ...the measures from literature to the classification of shapes and recognition of handwritten ...
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Learning Term weighting Functions for Similarity Measures
... a similarity measure has been implemented, the algorithm need not be changed – only the term vectors need to be ...the similarity measure, such as model combination of various types of similarity ...
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Comparing Statistical Similarity Measures for Stylistic Multivariate Analysis
... distance/similarity measures are im- plicitly or explicitly used by multivariate statistical analysis techniques typically applied in computational stylistic ...
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A Study of Hybrid Similarity Measures for Semantic Relation Extraction
... a similarity-based relation extraction method is ...hybrid similarity measure combines several single similarity measures with a combination method to achieve better extraction ...C) ...
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Learning Discriminative Projections for Text Similarity Measures
... Traditional text similarity measures consider each term similar only to itself and do not model semantic relatedness of terms. We pro- pose a novel discriminative training method that projects the raw term ...
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Using Similarity Measures to Extend the LinGO Lexicon
... the similarity measures does not involve enough detail to al- low us to make principled decisions according to the exact kind of syntactic distribution that the words share, so we are not in a position to ...
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Comparison of String Similarity Measures for Obscenity Filtering
... string similarity measure in task of obscenity fil- tering is the time complexity of computing simi- larity ...different similarity measures using the following O – notation and the following nota- ...
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Linear-Time Computation of Similarity Measures for Sequential Data
... the similarity of two sequences is a classical problem of computer ...sequence similarity in terms of local and global alignments (Needleman and Wunsch, 1970; Smith and Waterman, ...However, ...
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Implementation of similarity measures for event sequences in myCBR
... the similarity measures in myCBR Workbench takes place first on the attribute level, defining the local similarity measures and then moves on to the concept level to define the global similar- ...
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Comparing Similarity Measures for Distributional Thesauri
... parameters: similarity measures, frequency thresholds and association ...than similarity measures, with more agreement found for increasing ...
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Sinhala Short Sentence Similarity Calculation using Corpus Based and Knowledge Based Similarity Measures
... measuring similarity between short sentences written in Sin- hala, an official language of Sri Lanka, which is currently used by a population of over 16 ...other similarity measures ...the ...
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Comparison on the Effectiveness of Different Statistical Similarity Measures
... the similarity between the two vectors is computed [4]. Similarity measures take advantage of richer representation ...Most similarity measures can be classified into one of four types: ...
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Image Steganalysis with Binary Similarity Measures
... In this paper, in order to capture these statistical artifacts and hence to determine the presence of hidden messages, we propose a set of binary similarity measures between suc- cessive bit planes. The ...
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