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Managing Diversity in Regression Ensembles
G Brown,
Jeremy Wyatt
,
Peter Tino
Computer Science
Research output
:
Contribution to journal
›
Article
217
Citations (Scopus)
Overview
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Dive into the research topics of 'Managing Diversity in Regression Ensembles'. Together they form a unique fingerprint.
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Weight
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Mathematics
Ensemble
100%
Error function
97%
Regression
77%
Ensemble Learning
60%
Estimator
40%
Trade-offs
34%
Penalty
31%
RBF Network
30%
Heuristics
29%
Mixture of Experts
27%
Bagging
26%
Output
25%
Boosting
22%
Empirical Study
19%
Regression Estimator
18%
Machine Learning
18%
Term
18%
Quadratic Function
17%
Mean Squared Error
16%
Gaussian Process
16%
Linear regression
16%
Basis Functions
16%
Learning
15%
Upper bound
10%
Relationships
10%
Framework
9%
Coefficient
8%
Class
4%
Engineering & Materials Science
Learning systems
34%
Radial basis function networks
20%
Linear regression
16%
Labels
14%
Machine learning
12%