Using similarity analysis and machine learning techniques to manage test case informationA device may obtain test case information for a set of test cases. The test case information may include test case description information, test case environment information, and/or test case defect information. ...
Machine‐Learning‐Based Image Similarity Analysis for Use in Materials Characterizationmachine learningmaterials characterizationmicrostructural imagessimilarity analysistype="main" xml:lang="en">\n
Ramasso E, Saxena A (2014) Performance Benchmarking and Analysis of Prognostic Methods for CMAPSS Datasets. Int J Progn Health M 5:1–15. https://doi.org/10.36001/ijphm.2014.v5i2.2236 Article Google Scholar Li XC, Duan F, Mba D, Bennett I (2018) Rotating Machine Prognostics Using Syst...
It is really helpful for text data analysis. I am working on ticket mapping with service type. We have one excel sheet where all diff types of service are listed with Service description. We receive monthly thousands of tickets with ticket description. Manually it’s not possible to i...
Weighting of Parts in Compositional Data Analysis: Advances and Applications It often occurs in practice that it is sensible to give different weights to the variables involved in a multivariate data analysis鈥攁nd the same holds fo... K Hron,A Menafoglio,J Palarea-Albaladejo,... - 《Mathema...
matlabimage-analysisssimstructural-similarityimage-ssim UpdatedJul 29, 2020 HTML Structural Similarity between two matrices matricesstructural-similaritystructural-similarity-index UpdatedJul 4, 2021 Python The server side of PB Project. securityanalyticsphishingphishtanksafebrowsingphishing-detectionstructural-simila...
performance-analysis biometric-systems equal-error-rate similarity-matrices Updated Jun 24, 2022 Python yaeldemers / visual-music-representation Star 1 Code Issues Pull requests Allows you to visualize repetitions in the notes and melodies of songs using self-similarity matrices. processing music...
(Turk and Stephens2016) does approximate and phonetic matching of strings, and cosine similarity from scikit-learn (Pedregosa et al.,2011) which is a machine learning library providing data mining and data analysis. We also employed diff, the classic file comparison tool, and bsdiff, a binary ...
We have used the Countvectorizer to convert text into a vector, Cosine Similarity for the recommendation and for review sentiment analysis we have used the Logistic Regression algorithm. pythonmachine-learningsentiment-analysisjupyter-notebookpandaspicklejupyter-notebookscountvectorizermovie-recommendation-system...
.dot(pc.transpose()) * pc return XX def run_sif_benchmark(sentences1, sentences2, model, freqs={}, use_stoplist=False, a=0.001): total_freq = sum(freqs.values()) embeddings = [] # SIF requires us to first collect all sentence embeddings and then perform # common component analysis....