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MULTI-VIEW LEARNING

Multi-View Learning is a machine learning framework where data are represented by multiple distinct feature groups, and each feature group is referred to as a particular view.

Source: Dissimilarity-based representation for radiomics applications

Papers

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Showing 121–130 of 256 papers

TitleStatusHype
Multi-view learning with privileged weighted twin support vector machine—0
Multi-view Low-rank Preserving Embedding: A Novel Method for Multi-view Representation—0
Multi-View Majority Vote Learning Algorithms: Direct Minimization of PAC-Bayesian Bounds—0
Multi-view metric learning for multi-instance image classification—0
Multi-View Multi-Task Modeling with Speech Foundation Models for Speech Forensic Tasks—0
Multi-View Non-negative Matrix Factorization Discriminant Learning via Cross Entropy Loss—0
Multi-view Orthonormalized Partial Least Squares: Regularizations and Deep Extensions—0
Multi-view Regularized Gaussian Processes—0
Multi-view Representation Learning from Malware to Defend Against Adversarial Variants—0
Multi-View representation learning in Multi-Task Scene—0
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