Christian Igel
Professor
ORCID: 0000-0003-2868-0856
Primære forskningsområder
My main research area is Machine Learning.
Currently I am particularly interested in
- support vector machines and other kernel-based methods,
- evolution strategies for single- & multi-objective optimization and reinforcement learning,
- deep neural networks and stochastic neural networks,
- PAC-Bayesian analysis of ensemble methods,
and applications of these methods.
ID: 22657401
Flest downloads
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4402
downloads
Shape index descriptors applied to texture-based galaxy analysis
Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
Udgivet -
2314
downloads
Buffer k-d trees: processing massive nearest neighbor queries on GPUs
Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
Udgivet -
1207
downloads
Fast training of multi-class support vector machines
Publikation: Bog/antologi/afhandling/rapport › Rapport › Forskning
Udgivet