Adaptive learning models for information-efficient lifelong machine learning

Hihn, Heinke

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Universität Ulm

Adaptive learning models for information-efficient lifelong machine learning

dc:creator Hihn, Heinke

2024

Degree

thesis:*

Level thesis:degree_level: thesis.doctoral
Grantor dc:publisher: Universität Ulm
Year: 2024

Author and committee

dc:creator, dc:contributor.*

Author dc:creator: Hihn, Heinke

Subjects

dc:subject × 9

Bounded rationality
Meta-learning
Continual learning
Variational Bayesian inference
Multi-modal learning
Pain level estimation
Regression
Aritifial neural network
Maxium expected utility theory

Identifiers

dc:identifier.*

Repository record source_url: http://nbn-resolving.de/urn:nbn:de:bsz:289-oparu-55057-2
OAI identifier oai:identifier: oai:oparu.uni-ulm.de:123456789/55057

Chain of custody

source

Harvested from: Universität Ulm
Base URL: oparu.uni-ulm.de/server/oai/request
Last updated: 2026-07-24
Source record: OAI-PMH GetRecord

related terms

Bounded rationality
Meta-learning
Continual learning
ulm-diss
thesis.doctoral
2024

citation

Hihn, Heinke. Adaptive learning models for information-efficient lifelong machine learning. thesis.doctoral thesis, Universität Ulm, 2024. http://nbn-resolving.de/urn:nbn:de:bsz:289-oparu-55057-2

Adaptive learning models for information-efficient lifelong machine learning

Degree

Author and committee

Subjects

Identifiers

Chain of custody

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