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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 176–200 of 256 papers

TitleStatusHype
Community-preserving Graph Convolutions for Structural and Functional Joint Embedding of Brain Networks—0
Partners in Crime: Multi-view Sequential Inference for Movie Understanding—0
Reviews Meet Graphs: Enhancing User and Item Representations for Recommendation with Hierarchical Attentive Graph Neural Network—0
Neural News Recommendation with Heterogeneous User Behavior—0
Efficient and Adaptive Kernelization for Nonlinear Max-margin Multi-view Learning—0
Self-boosted Time-series Forecasting with Multi-task and Multi-view Learning—0
Texture and Structure Two-view Classification of Images—0
MEGAN: A Generative Adversarial Network for Multi-View Network Embedding—0
Multi-View Broad Learning System for Primate Oculomotor Decision DecodingCode0
A Multi-View Discriminant Learning Approach for Indoor Localization Using Bimodal Features of CSI—0
Deep Multi-View Learning via Task-Optimal CCACode1
Neural News Recommendation with Attentive Multi-View LearningCode0
Probabilistic CCA with Implicit Distributions—0
Canonical Correlation Analysis (CCA) Based Multi-View Learning: An Overview—0
Multimodal and Multi-view Models for Emotion Recognition—0
Recurrent Neural Network for (Un-)Supervised Learning of Monocular Video Visual Odometry and Depth—0
Variational recurrent models for representation learning—0
Improving Sentence Representations with Multi-view Frameworks—0
Deep Multi-View Learning using Neuron-Wise Correlation-Maximizing Regularizers—0
Recurrent Neural Network for (Un-)supervised Learning of Monocular VideoVisual Odometry and DepthCode0
Multi-View Intact Space Learning—0
Everything old is new again: A multi-view learning approach to learning using privileged information and distillation—0
A Nonparametric Multi-view Model for Estimating Cell Type-Specific Gene Regulatory Networks—0
Learning Dual Retrieval Module for Semi-supervised Relation ExtractionCode0
Anomaly detecting and ranking of the cloud computing platform by multi-view learning—0
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