Results 21 to 30 of about 8,989,075 (297)
Sistemasi: Jurnal Sistem Informasi, 2023 Classification in supervised learning is a way to find patterns in database that the classes are already known. In the classification of machine learning, there is a term called ensemble classifier.
Ressa Isnaini Arumnisaa +1 more
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Tropical Medicine and Infectious Disease, 2022 HIV and AIDS continue to be major public health concerns globally. Despite significant progress in addressing their impact on the general population and achieving epidemic control, there is a need to improve HIV testing, particularly among men who have ...
Innocent Chingombe +12 more
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Evaluation of the machine learning classifier in wafer defects classification
ICT Express, 2021 In this paper, an evaluation of machine learning classifiers to be applied in wafer defect detection is described. The objective is to establish the best machine learning classifier for Wafer Defect Detection application.
Jessnor Arif Mat Jizat +4 more
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Empirical analysis of support vector machine ensemble classifiers [PDF]
Expert Systems with Applications, 2009 Ensemble classification - combining the results of a set of base learners - has received much attention in the machine learning community and has demonstrated promising capabilities in improving classification accuracy. Compared with neural network or decision tree ensembles, there is no comprehensive empirical research in support vector machine (SVM ...
Shijin Wang +5 more
openaire +3 more sources
An Effective Semi-Supervised Multi-Label Least Squares Twin Support Vector Machine
IEEE Access, 2020 Multi-label twin support vector machine (MLTSVM), being an effective multi-label classifier based on twin support vector machine (TSVM), has been widely studied and applied due to its excellent classification performance.
Qing Ai +4 more
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Analysis of Emoticon and Sarcasm Effect on Sentiment Analysis of Indonesian Language on Twitter
Journal of Information Systems Engineering and Business Intelligence, 2019 Background: Indonesia is an active Twitter user that is the largest ranked in the world. Tweets written by Twitter users vary, from tweets containing positive to negative responses. This agreement will be utilized by the parties concerned for evaluation.
Debby Alita, Sigit Priyanta, Nur Rokhman
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Deepfake detection using MobileNetV2 integrated with a support vector machine classifier [PDF]
EPJ Web of ConferencesThe rapid development of deep learning algorithms has led to a substantial improvement in the realism of synthetic media, particularly deepfakes, raising concerns about deception and digital security.
Dwi Satoto Budi +5 more
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RSVM: Reduced Support Vector Machines [PDF]
, 2001 An algorithm is proposed which generates a nonlinear kernel-based separating surface that requires as little as 1% of a large dataset for its explicit evaluation.
Olvi L. Mangasarian +3 more
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Multitraining support vector machine for image retrieval [PDF]
, 2006 Relevance feedback (RF) schemes based on support vector machines (SVMs) have been widely used in content-based image retrieval (CBIR). However, the performance of SVM-based RF approaches is often poor when the number of labeled feedback samples is small.
Tao, D. +7 more
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Probabilistic Decision Trees using SVM for Multi-class Classification [PDF]
, 2013 In the automotive repairing backdrop, retrieving from previously solved incident the database features that could support and speed up the diagnostic is of great usefulness.
BOUAMAMA, Karima +9 more
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