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M. Pavel

dblp:18/5868 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 1988
—ORCID · unresolved

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

Artificial intelligence and machine learning · 2 · 1 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
Learning theory · 44% Deep learning architectures and training · 44% Knowledge representation and reasoning · 13%

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

TopicWeightPapersLastEvidence papers
Machine learning › Deep learning architectures and training
adaptive network
0.011988
Constraints on Adaptive Networks for Modeling Human Generalization · NIPS 1988
Machine learning › Learning theory
generalization
0.011988
Constraints on Adaptive Networks for Modeling Human Generalization · NIPS 1988
Knowledge, reasoning and agents › Knowledge representation and reasoning
cognitive modeling
0.011988
Constraints on Adaptive Networks for Modeling Human Generalization · NIPS 1988
YearPublicationVenuePosition
1988 Constraints on Adaptive Networks for Modeling Human Generalization
Mark A. Gluck, M. Pavel, Van Henkle
NIPS2
1988 Comparing generalization by humans and adaptive networks
M. Pavel, Mark A. Gluck, Van Henkle
Neural Networks1