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Embedding Learning
Ben Dai
,
Xiaotong Shen
, Junhui Wang
Statistics (Twin Cities)
Research output
:
Contribution to journal
›
Article
›
peer-review
15
Scopus citations
Overview
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Dive into the research topics of 'Embedding Learning'. Together they form a unique fingerprint.
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Keyphrases
Unstructured Data
100%
Embedding Learning
100%
Graph Embedding
66%
Learning Accuracy
66%
Generalization Error
66%
Learning Adaptive
66%
Adaptive Embedding
66%
Hypergraph
33%
Transfer Learning
33%
Algorithm Design
33%
Hyperlinks
33%
Linear Regression
33%
Encoder
33%
Fast Rates
33%
Performance Prediction
33%
Gradient Projection
33%
Multi-way
33%
Learning Theory
33%
Parametric Rate
33%
Block Coordinate Descent
33%
Linear Classification
33%
Higher Learning
33%
Sentiment Analysis
33%
Optimal Learning
33%
Classification Analysis
33%
Nonlinear Classification
33%
Embedded Constraints
33%
Feedforward Neural Network
33%
One-hot
33%
Numerical Vector
33%
Minimal Sufficient
33%
Unannotated Data
33%
Learning Methods
33%
Computer Science
Unstructured Data
100%
Adaptive Learning
66%
Generalization Error
66%
Algorithm Design
33%
Gradient Descent
33%
Sentiment Analysis
33%
Transfer Learning
33%
Multiple Hypergraphs
33%
Predictive Performance
33%
Supplementary Material
33%
Feed Forward Neural Networks
33%
Hyperlink
33%
Mathematics
Unstructured Data
100%
Graph Embedding
66%
Tensor
33%
Parametric
33%
Predictive Performance
33%
Hypergraphs
33%
Supplementary Material
33%
Neural Network
33%
Classification Analysis
33%
Transfer Learning
33%
Embedding Constraint
33%
Linear Regression Analysis
33%
Opinion Mining
33%