Nick Littlestone - Concepedia

Author

Nick Littlestone

Princeton University

Also Known As

Nick Littlestone

Publications

Citations

H-Index

Concepts

All Affiliations

Princeton University University of California, Santa Cruz

About

Nick Littlestone is an author at Princeton University specializing in computer science, engineering, and data science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	9	9	2.5K
2	Computer Science	9	9	2.5K
3	Data Science	7	7	2.3K
4	Artificial Intelligence	5	5	2.2K
5	Management	1	1	18

Nick Littlestone

Publications

2.9K

Citations

H-Index

Page 1

	Year	Citations
Learning Quickly When Irrelevant Attributes Abound: A New Linear-Threshold Algorithm Nick Littlestone Machine Learning Artificial IntelligenceClassification MethodEngineeringMachine LearningData Science	1988	1.4K
Learning quickly when irrelevant attributes abound: A new linear-threshold algorithm Nick Littlestone Machine Learning Artificial IntelligenceClassification MethodEngineeringMachine LearningData Science	1988	501
Relating Data Compression and Learnability Nick Littlestone, Manfred K. Warmuth	2003	213
Learning quickly when irrelevant attributes abound: A new linear-threshold algorithm Nick Littlestone Artificial IntelligenceEngineeringMachine LearningBoolean FunctionAlgorithmic Learning	1987	193
Equivalence of models for polynomial learnability David Haussler, Michael Kearns, Nick Littlestone, Information and Computation Polynomial LearnabilityEngineeringComputational Learning TheoryAutomated ReasoningAlgorithmic Learning	1991	142
From on-line to batch learning Nick Littlestone Conference on Learning Theory Artificial IntelligenceEngineeringMachine LearningAlgorithmic LearningNatural Language Processing	1989	123
General Convergence Results for Linear Discriminant Updates Adam J. Grove, Nick Littlestone, Dale Schuurmans Machine Learning	2001	123
Equivalence of models for polynomial learnability David Haussler, Michael Kearns, Nick Littlestone, Conference on Learning Theory Polynomial LearnabilityEngineeringComputational Learning TheoryAutomated ReasoningAlgorithmic Learning	1988	78
General convergence results for linear discriminant updates Adam J. Grove, Nick Littlestone, Dale Schuurmans	1997	48
The robustness of the <i>p</i> -norm algorithms Claudio Gentile, Nick Littlestone EngineeringMachine LearningClaudio Gentile DsiP-norm Algorithms AuthorsAnalysis Of Algorithm	1999	48

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