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On Safety in Machine Learning
T.J. Viering
Pattern Recognition and Bioinformatics
Research output
:
Thesis
›
Dissertation (TU Delft)
566
Downloads (Pure)
Overview
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Dive into the research topics of 'On Safety in Machine Learning'. Together they form a unique fingerprint.
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Computer Science
Active Learning
80%
Algorithms
20%
Annotation
20%
Application
20%
Conventional Wisdom
20%
Convolutional Neural Network
40%
Design
20%
Gradient-Weighted Class Activation Mapping
60%
Learning Algorithm
100%
Learning Curve
100%
Learning Problem
20%
Machine Learning
100%
Model
100%
Performance Guarantee
20%
Probability
20%
Survey
40%
INIS
algorithms
40%
applications
6%
cam
20%
cars
6%
classification
6%
comparative evaluations
6%
cost
6%
curves
40%
data
66%
data validation
6%
design
6%
images
6%
labelling
6%
learning
100%
machine learning
100%
noise
6%
performance
53%
power
6%
prediction
6%
probability
6%
randomness
6%
safety
100%
sampling
6%
shape
6%
size
13%
solutions
6%
surveys
13%
Economics, Econometrics and Finance
Cost
6%
Learner
26%
Learning
100%
Machine Learning
100%
Robustness
6%
Sample Size
13%
Surety
13%
Chemical Engineering
Learning System
100%
Keyphrases
Average-case Analysis
20%
Wrapper Algorithm
20%
Mathematics
Correct Model
16%