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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

Showing 3140 of 256 papers

TitleStatusHype
Deep Code Search with Naming-Agnostic Contrastive Multi-View Learning0
Bundle Recommendation with Item-level Causation-enhanced Multi-view LearningCode0
Increasing the Robustness of Model Predictions to Missing Sensors in Earth ObservationCode0
Discovering Common Information in Multi-view DataCode0
LUMA: A Benchmark Dataset for Learning from Uncertain and Multimodal DataCode1
TSCMamba: Mamba Meets Multi-View Learning for Time Series ClassificationCode1
Conformal Prediction for Ensembles: Improving Efficiency via Score-Based AggregationCode0
Generalized Cauchy-Schwarz Divergence and Its Deep Learning Applications0
MERIT: Multi-view Evidential learning for Reliable and Interpretable liver fibrosis sTaging0
Masked Two-channel Decoupling Framework for Incomplete Multi-view Weak Multi-label Learning0
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