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Uncertainty and label noise in machine learning
Michel Verleysen,
Benoît Frénay
Research output
:
External Thesis
›
Doctoral Thesis
Overview
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Dive into the research topics of 'Uncertainty and label noise in machine learning'. Together they form a unique fingerprint.
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Keyphrases
Label Noise
100%
Regression Problem
33%
Extreme Learning Machine
33%
Extreme Learning
33%
Electrocardiogram Signal
16%
Hidden Layer
16%
Overfitting
16%
Data Label
16%
Optimal Feature Selection
16%
High-dimensional Space
16%
Specific Tools
16%
Limited Computational Resources
16%
Common Error
16%
Learning Algorithm
16%
Probabilistic Model
16%
Relevant Subset
16%
Distance Concentration
16%
Hidden Neurons
16%
Single Hidden Layer Neural Network
16%
Error Criterion
16%
High-dimensional Data
16%
Output Weights
16%
Probabilistic Learning
16%
Curse of Dimensionality
16%
Engineering
Mutual Information
100%
Extreme Learning Machine
66%
Optimal Feature
33%
Hidden Neuron
33%
Learning Algorithm
33%
Probabilistic Modeling
33%
Hidden Layer
33%
Chemical Engineering
Learning System
100%
Feedforward Neural Network
20%
Computer Science
Computational Time
33%
Probabilistic Modeling
33%
INIS
electrocardiograms
12%