Foundations and Trends in Machine Learning

ISSN: 1935-8237

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Foundations and Trends in Machine Learning Q1 Unclaimed

Now Publishers Inc United States
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Electronic publishing has given researchers instant access to more articles than ever before. But which articles are the essential ones that should be read to understand and keep abreast with developments of any topic? To address this problem Foundations and Trends® in Machine Learning publishes high-quality survey and tutorial monographs of the field. Foundations and Trends® in Machine Learning publishes survey and tutorial articles on the theory, algorithms and applications of machine learning It has an SJR impact factor of 4,292.

Type: Journal

Type of Copyright:

Languages:

Open Access Policy: Non Open Access

Type of publications:

Publication frecuency: -

Price

- €

Inmediate OA

- €

Embargoed OA

0 €

Non OA

Metrics

Foundations and Trends in Machine Learning

4,292

SJR Impact factor

35

H Index

4

Total Docs (Last Year)

12

Total Docs (3 years)

528

Total Refs

814

Total Cites (3 years)

12

Citable Docs (3 years)

69,56

Cites/Doc (2 years)

132,00

Ref/Doc



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Property Testing: A Learning Theory Perspective

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Kernels for Vector-Valued Functions: A Review

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A Tutorial on Linear Function Approximators for Dynamic Programming and Reinforcement Learning

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A Tutorial on Thompson Sampling

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Explaining the Success of Nearest

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Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers

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