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Mitchell Marks

dblp:32/5648 · DBLP profile ↗
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3ranked-venue papers
0as first author
0since 2021 · last 1993
—ORCID · none

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

Artificial intelligence and machine learning · 3Graphics, computer vision, multimedia, augmented reality and games · 1

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.

Software engineering, system software, and programming languages
1 paper
Compilers and program optimization · 100%
Artificial intelligence
1 paper
Reinforcement learning · 100%

Topics — the 1 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Compilers and program optimization
dynamic optimization		 0.011988
Learning from Opportunities: Storing and Re-using Execution-Time Optimizations · AAAI 1988
YearPublicationVenuePosition
1993 Opportunism and Learning
Kristian J. Hammond, Timothy M. Converse, Mitchell Marks, Colleen M. Seifert
 Mach. Learn.3
1989 Learning from Opportunity
Timothy M. Converse, Kristian J. Hammond, Mitchell Marks
 ML3
1988 Learning from Opportunities: Storing and Re-using Execution-Time Optimizations
Kristian J. Hammond, Timothy M. Converse, Mitchell Marks
 AAAI3