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Groningen Netherlands
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Education
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www.cs.rug.nl/~biehl
About
Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence
Tags
machine learning
learning vector quantization
supervised learning
relevance learning
tumor classification
neural networks
statistical physics of learning
prototype-based systems
interpretable machine learning
explainable ai
adrenal tumors
phase transitions
self-organizing maps
biomedical data
unsupervised learning
artificial intelligence
adrenal tumours
endocrinology
steroid metabolomics
classification
learning curves
metric learning
neurodegenerative disease
gmlvq
feature selection
layered neural networks
tissue-specific ribosome
disordered systems
regression
cytokine expression
activation functions
hidden units
t-sne
bioinformatics
distance based classifiers
parkinson
fdg-pet
gene expression data
cancer
classfication
steroids
hormones
aldosteronism
primary aldosteronism
relevance matrix
tumour classification
metabolomics
xai
translational medicine
multi-source data
ssm/pca
lvq
transfer learning
rheumatoid athritis
life science data
hidden unit specialization
learning of a rule
learning from examples
data science
learning theory
statistical mechanics
statistical physics
ribosome composition
pca
selforganizing map
ribosomal proteins
ribosome
annealed approximation
deep learning
feedforward networks
prototype-ba
learning vector quantizaation
medical data
pet scan brain images
rheumatoid arthritis
adaptive distance measures
relu
sigmoidal
u-map
ribosomae
proteins
mrna
gene expression
life-sciences
prototype based systems
student teacher model
species translation
proteomics
systems biology
brain-inspired computing
prototype based systesm
neuroimaging
brain scan data
risk prediction
galaxy classification
astroinformatics
biomarker
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Presentations
(24)Personal Information
Organization / Workplace
Groningen Netherlands
Industry
Education
Website
www.cs.rug.nl/~biehl
About
Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence
Tags
machine learning
learning vector quantization
supervised learning
relevance learning
tumor classification
neural networks
statistical physics of learning
prototype-based systems
interpretable machine learning
explainable ai
adrenal tumors
phase transitions
self-organizing maps
biomedical data
unsupervised learning
artificial intelligence
adrenal tumours
endocrinology
steroid metabolomics
classification
learning curves
metric learning
neurodegenerative disease
gmlvq
feature selection
layered neural networks
tissue-specific ribosome
disordered systems
regression
cytokine expression
activation functions
hidden units
t-sne
bioinformatics
distance based classifiers
parkinson
fdg-pet
gene expression data
cancer
classfication
steroids
hormones
aldosteronism
primary aldosteronism
relevance matrix
tumour classification
metabolomics
xai
translational medicine
multi-source data
ssm/pca
lvq
transfer learning
rheumatoid athritis
life science data
hidden unit specialization
learning of a rule
learning from examples
data science
learning theory
statistical mechanics
statistical physics
ribosome composition
pca
selforganizing map
ribosomal proteins
ribosome
annealed approximation
deep learning
feedforward networks
prototype-ba
learning vector quantizaation
medical data
pet scan brain images
rheumatoid arthritis
adaptive distance measures
relu
sigmoidal
u-map
ribosomae
proteins
mrna
gene expression
life-sciences
prototype based systems
student teacher model
species translation
proteomics
systems biology
brain-inspired computing
prototype based systesm
neuroimaging
brain scan data
risk prediction
galaxy classification
astroinformatics
biomarker
See more