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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 41–50 of 256 papers

TitleStatusHype
A Novel TSK Fuzzy System Incorporating Multi-view Collaborative Transfer Learning for Personalized Epileptic EEG Detection—0
A Novel Random Forest Dissimilarity Measure for Multi-View Learning—0
A graph neural network-based multispectral-view learning model for diabetic macular ischemia detection from color fundus photographs—0
Deep Incomplete Multi-view Learning via Cyclic Permutation of VAEs—0
Classification of weak multi-view signals by sharing factors in a mixture of Bayesian group factor analyzers—0
Canonical Correlation Analysis with Implicit Distributions—0
A Nonparametric Multi-view Model for Estimating Cell Type-Specific Gene Regulatory Networks—0
Canonical Correlation Analysis (CCA) Based Multi-View Learning: An Overview—0
Community-preserving Graph Convolutions for Structural and Functional Joint Embedding of Brain Networks—0
Anomaly detecting and ranking of the cloud computing platform by multi-view learning—0
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