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Jun FAN, Dr
Associate Professor
,
Department of Mathematics
https://orcid.org/0000-0001-8451-3484
Email
junfan
hkbu.edu
hk
2013
2022
Research activity per year
Overview
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Network
Projects / Grants
(3)
Research Output
(20)
Similar Scholars
(6)
Supervised Work
(1)
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Dive into the research topics where Jun FAN is active. Topic labels come from the works of this scholar. Together they form a unique fingerprint.
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Weight
Alphabetically
Mathematics
Learning
100%
Reproducing Kernel Hilbert Space
63%
Learning Rate
62%
Learning Algorithm
54%
Entropy
53%
Regularization
51%
Margin
51%
Regression
46%
Prediction
41%
Convergence Analysis
41%
Penalty
40%
Mammography
37%
Functional Data
36%
Gaussian Kernel
35%
Learning Theory
33%
Error Analysis
32%
Statistical Learning
30%
Convergence Rate
28%
Descent Algorithm
28%
kernel
27%
Breast Cancer
27%
Gradient Descent
27%
Quantitative Analysis
27%
Ranking
27%
Gradient Algorithm
27%
Alignment
25%
Binary Classification
25%
Medicine
24%
Least Squares
24%
Sparsity
23%
Support Vector Machine
23%
Comparison Theorem
23%
Protein
23%
Single nucleotide Polymorphism
21%
Information Structure
20%
Predictors
20%
Pairwise
19%
Descriptors
17%
Regression Function
17%
Scaling
17%
Higher Dimensions
17%
Reproducing Kernel
16%
Classifier
16%
Generalization Error
16%
Electronics
15%
Health
15%
Loss Function
15%
Sample Size
14%
Slope
14%
Demonstrate
13%
Engineering & Materials Science
Hilbert spaces
96%
Learning algorithms
64%
Personalized medicine
60%
Entropy
56%
Error analysis
55%
Mammography
28%
Health
27%
Support vector machines
26%
Logistic regression
24%
Machine learning
24%
Piles
21%
Parallel algorithms
20%
Deep learning
19%
Polymorphism
18%
Nucleotides
18%
Decomposition
16%
Classifiers
15%
Peptides
14%
Principal component analysis
10%
Steepest descent method
9%
Polynomials
8%
Statistics
8%
Bandwidth
7%
Computer simulation
6%
Fusion reactions
5%
Feature extraction
5%
Imaging techniques
5%
Medicine & Life Sciences
Breast Neoplasms
57%
Electronic Health Records
45%
Mammography
38%
Area Under Curve
31%
Logistic Models
28%
Genetic Testing
23%
Psychological Power
21%
Precision Medicine
17%
ROC Curve
15%
Genome-Wide Association Study
9%
Case-Control Studies
8%
International Classification of Diseases
5%
Data Systems
5%
Optimism
5%
Penetrance
5%