Feb 10, 2022 · A new instance-based multi-view SVM algorithm, named IBMvSVM, is proposed by building the view vector of each instance into the multi-view SVM learning.
Oct 1, 2022 · A new instance-based multi-view SVM algorithm, named IBMvSVM, is proposed by building the view vector of each instance into the multi-view SVM learning.
Feb 10, 2022 · IBMvSVM focuses on characteristics of each instance itself in different views rather than treating them equally. Experiments performed on 48 ...
In this paper, a ν-improved nonparallel support vector machine (ν-IMNPSVM) is proposed to solve binary classification problems. In this model, we use related ...
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IBMvSVM: An Instance-Based Multi-View SVM Algorithm for Classification · C_CART: An Instance Confidence-Based Decision Tree Algorithm for Classification ...
IBMvSVM: An Instance-Based Multi-View SVM Algorithm for Classification · C_CART: An Instance Confidence-Based Decision Tree Algorithm for Classification ...
IBMvSVM: An instance-based multi-view SVM algorithm for classification. S Yu, X Li, S Sun, H Wang, X Zhang, S Chen. Applied Intelligence 52 (13), 14739-14755 ...
Twin support vector machines are a recently proposed learning method for binary classification. They learn two hyperplanes rather than one as in conventional ...
SVM as a type of instance-based learning? - Stack Overflow
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Oct 27, 2014 · You can see SVM as an instance-based learning algorithm because you need to memorize the support vectors if you cannot represent the feature space.
Missing: IBMvSVM: multi- view
May 2, 2023 · Multiview learning (MVL) frequently uses support vector machine- (SVM-) based models, but it can be difficult to select appropriate kernel ...