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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 241–250 of 256 papers

TitleStatusHype
Multi-view Learning as a Nonparametric Nonlinear Inter-Battery Factor Analysis—0
Classification of weak multi-view signals by sharing factors in a mixture of Bayesian group factor analyzers—0
Patterns for Learning with Side InformationCode0
Semi-supervised Multi-sensor Classification via Consensus-based Multi-View Maximum Entropy Discrimination—0
Tensor Canonical Correlation Analysis for Multi-view Dimension ReductionCode1
Multi-view learning for multivariate performance measures optimization—0
Bayesian multi-tensor factorization—0
Conditional Random Field Autoencoders for Unsupervised Structured PredictionCode0
PAC-Bayes Analysis of Multi-view Learning—0
Overlapping Trace Norms in Multi-View Learning—0
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