In this paper, an ontology mapping system is described, which applies multiple classification methods to learn the mapping between ontologies, and then the similarity measuring method between different concepts which belongs to different ontology respectively is analyzed. As a result, the algorithm of ...
Elattar H, Elminir HK, Riad AM (2019) Conception and implementation of a data-driven prognostics algorithm for safety-critical systems. Soft Computing. https://doi.org/10.1007/s00500-017-2995-7 Article Google Scholar Lei YG, Li NP, Lin J, Li NB (2016) Machine remaining useful life ...
Similarity-based Hierarchical Clustering (HC) is a classical unsupervised machine learning algorithm that has traditionally been solved with heuristic algo... I Chami,A Gu,V Chatziafratis,... 被引量: 0发表: 2020年 The VLDB Journal — The International Journal on Very Large Data Bases An abstra...
Recently, metric learning and similarity learning have attracted a large amount of interest. Many models and optimization algorithms have been proposed. However, there is relatively little work on the generalization analysis of such methods. In this paper, we derive novel generalization bounds of metri...
A Gaussian radial basis function based feature selection algorithm Recently Li et al. proposed a parameter selection method for Gaussian radial basis function (GRBF) in support vector machine (SVM). In his paper cosine sim... Z Liu,MJ Zuo,H Xu - IEEE International Conference on Computational ...
pythonalgorithmstringsimilaritydistance-measure UpdatedNov 12, 2022 Python J535D165/recordlinkage Sponsor Star969 Code Issues Pull requests Discussions A powerful and modular toolkit for record linkage and duplicate detection in Python pythonmachine-learningprivacydeduperecord-linkagepython-libraryentity-resoluti...
fuzzy-matchinglevenshteinjaro-winklerlevenshtein-distancecosine-similarityngramsoundexjaccard-similaritylongest-common-subsequencehacktoberfestjaccardjaro-winkler-distancestring-similarityhamming-distancejarojaro-distancecosine-similarity-scoressorensen-dice-distancedice-coefficientsoundex-algorithm ...
Following this, the brain was segmented into different tissue types (CSF: cerebrospinal fluid; WM: white matter; cGM: cortical grey matter; GM: subcortical grey matter) using the Draw-EM algorithm (Makropoulos et al., 2014). Twenty manually labelled atlases (Gousias et al., 2012) were then...
s correlation. The comparison of both can result in interesting findings. If S>P (as shown above), it means that we have a monotonic relationship, not a linear relationship. Since linearity simplifies the process of fitting a regression algorithm to the dataset, we might want to modify the ...
aspect and ReSSL [28] for the relational aspect. We will then present our self-supervised soft contrastive learning approach called Similarity Contrastive Estimation (SCE). All these methods share the same architecture illustrated in Fig.1a. We provide the pseudo-code of our algorithm in Appendix ...