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Robert Hable

dblp:80/5044 · DBLP profile ↗
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4ranked-venue papers
4as first author
0since 2021 · last 2013
0000-0002-3719-8992ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 4 · 4 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Kernel, tree and ensemble methods · 67% Learning theory · 33%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Machine learning › Kernel, tree and ensemble methods
kernel methods
0.212013
Universal consistency of localized versions of regularized kernel methods · J. Mach. Learn. Res. 2013
Machine learning › Kernel, tree and ensemble methods › kernel methods
regularized kernel methods
0.212013
Universal consistency of localized versions of regularized kernel methods · J. Mach. Learn. Res. 2013
Machine learning › Learning theory › statistical learning theory
universal consistency
0.212013
Universal consistency of localized versions of regularized kernel methods · J. Mach. Learn. Res. 2013

Methods — techniques the papers use, named apart from their topics

regularization · 0.2localized kernel methods · 0.2
YearPublicationVenuePosition
2013 Universal consistency of localized versions of regularized kernel methods
Robert Hable
J. Mach. Learn. Res.1
2010 A minimum distance estimator in an imprecise probability model - Computational aspects and applications
Robert Hable
Int. J. Approx. Reason.1
2009 Data-based decisions under imprecise probability and least favorable models
Robert Hable
Int. J. Approx. Reason.1
2009 Finite approximations of data-based decision problems under imprecise probabilities
Robert Hable
Int. J. Approx. Reason.1