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Embedding Learning
Ben Dai,
Xiaotong Shen
, Junhui Wang
Statistics (Twin Cities)
Research output
:
Contribution to journal
›
Article
›
peer-review
2
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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Weight
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Mathematics
Learning
76%
Classifier
75%
Adaptive Learning
56%
Generalization Error
46%
Graph Embedding
46%
Sentiment Analysis
32%
Transfer Learning
31%
Directed Hypergraphs
25%
Projected Gradient
24%
Feedforward Neural Networks
23%
Algorithm Design
23%
Coordinate Descent
22%
Encoder
22%
Learning Theory
21%
Gradient Descent
20%
Framework
19%
Standards
18%
Quantify
17%
Linear regression
16%
Benchmark
16%
Maximise
15%
Tensor
13%
Sufficient
12%
Restriction
11%
Demonstrate
10%
Performance
9%
Concepts
8%
Business & Economics
Classifier
100%
Adaptive Learning
55%
Graph
40%
Hypergraph
33%
Transfer Learning
32%
Feedforward Neural Networks
30%
Sentiment Analysis
26%
Learning Methods
26%
Learning Theory
25%
Gradient
23%
Linear Regression
21%
Benchmark
16%
Performance
8%