similarity evaluation
Knowledge Graph Aided Similarity Evaluation for Scientific Workflow
... According to the above research, it is easy to ignore the implicit semantic relationship between workflow nodes when considering the structure alone and the accuracy of similarity comparison will be affected. At ...
5
Enhancement of Classifiers in HTM-CLA Using Similarity Evaluation Methods
... using similarity evaluation methods based on dot similarity (H- DS) and mean-shift clustering (H-MSC) to obtain classification from the sparse distributed representation (SDR) output of HTM- ...
8
SeiSIM: Structural Similarity Evaluation for Seismic Data Retrieval
... Since the introduction of SSIM, several improved versions have been proposed in the literature. For example, MS-SSIM [6] applies a multiscale decomposition to the images involved in the evaluation, and calculates ...
5
SUBJECTIVE SIMILARITY EVALUATION FOR SCENIC BILEVEL IMAGES
... image similarity metrics As mentioned earlier, one principal motivation for subjec- tive ratings is to provide ground truth for evaluating existing and new bilevel image similarity ...
6
Privacy Preserving Similarity Evaluation of Time Series Data
... In our setting, we have exactly two parties that have their own time series and would like to compute the similarity be- tween them without revealing the actual time series to the other party. Notice however, that ...
12
Evaluation of Methods for Sentence Similarity for Use in Intelligent Tutoring System
... sentence similarity could be knowledge based and statistical ...sentence similarity methods is Latent Semantic Analysis ...finding similarity of two ...sentence similarity are the methods that ...
5
Problems With Evaluation of Word Embeddings Using Word Similarity Tasks
... Word similarity evaluation is attractive, because it is computationally inexpensive and fast, lead- ing to faster prototyping and development of word vector ...word similarity tasks can be tracked ...
6
Evaluation on Second Language Collocational Congruency with Computational Semantic Similarity
... semantic similarity measures also allowed semantic similarity evaluation between word pairs in both contexts of all word senses or designated word ...semantic similarity measures computed all ...
8
Chemical Fingerprint Analysis and Quantitative Analysis of Rosa Rugosa by UPLC-DAD
... by Similarity Evaluation System for Chromatographic Fingerprint of Traditional Chinese Medicine (Version 2004A), and the correlation coefficients of all 10 sample fingerprints were shown as ...
11
Description and Evaluation of Semantic Similarity Measures Approaches
... Semantic similarity evaluation is a good factor included in many applications enclosed in the artificial intelligence research ...compute similarity, different kinds of methods can be ...semantic ...
9
Semantic Similarity of Distractors in Multiple Choice Tests: Extrinsic Evaluation
... which similarity measures generate better quality distractors of multiple-choice ...tests. Similarity measures employed in the procedure of selection of distractors are collocation patterns, four different ...
8
A comparative study and performance evaluation of similarity measures for data clustering
... a similarity measure and there are no features that dominate ...others. Similarity is fundamental to the definition of a cluster; a measure of the similarity between two patterns drawn from the same ...
12
A More Accurate Approach to Construct Numeric Clusters
... Abstract: Clustering is unsupervised learning because it doesn’t use predefined category labels associated with data items. Clustering algorithms are engineered to find structure in the current data, not to categories ...
5
Sentence Mover’s Similarity: Automatic Evaluation for Multi Sentence Texts
... mantic similarity. We introduce methods based on sentence mover’s similarity; our au- tomatic metrics evaluate text in a continuous space using word and sentence ...
13
The Impact of Consumer Ethnocentrism and Antecedents in an Emerging Market
... and evaluation of, foreign products from similar cultures to that of the consumer‟s home ...cultural similarity has a moderating role regarding the relationship between consumer ethnocentrism and purchase ...
9
MSTParser Model Interpolation for Multi Source Delexicalized Transfer
... transfer. Evaluation on a large collection of treebanks showed that in a setting where the source lan- guages are weighted by their similarity to the tar- get language, model interpolation performs com- ...
5
Evaluation of a Similarity Search Method for Human Behavior (Extended LDSD)
... on similarity definitions of linked data and graph-based data [5] [6] [8] [9][10] throughout the past ...The similarity definitions are classified into two types: graph matching-based [5] [9] and link-based ...
6
Evaluation of Scientific Elements for Text Similarity in Biomedical Publications
... We defined two baselines for comparison: (i) the original order of the candidate documents as returned by PubMed’s “similar articles” function- ality; and (ii) string similarity based on the whole text (title and ...
12
MAXSIM: A Maximum Similarity Metric for Machine Translation Evaluation
... arbitrary similarity functions be- tween two matching items, and we could match arbi- trary concepts (such as dependency relations) gath- ered from a sentence ...MT evaluation metrics evaluated during the ...
8
Evaluation of Similarity Metrics Supporting matching of patients with cardiovascular disease
... Various similarity metrics can be used to calculate the similarity among user ...the similarity metric is the function which uses the values of properties in the user profile to assign the number to ...
94