Hierarchical Bayesian Learning Approaches for Different Labeling Cases

Hierarchical Bayesian Learning Approaches for Different Labeling Cases

<p>The goal of a machine learning problem is to learn useful patterns from observations so that appropriate inference can be made from new observations as they become available. Based on whether labels are available for training data, a vast majority of the machine learning approaches can be b...

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Bibliographic Details
Main Author: Manandhar, Achut
Other Authors: Collins, Leslie M
Published: 2015
Subjects:
Electrical engineering
Statistics
Affect recognition
Bayesian learning
GPR
Landmine detection
Multiple instance learning
Multivariate output-associative regression
Online Access:http://hdl.handle.net/10161/11321

Internet

http://hdl.handle.net/10161/11321

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