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 37,044.

Type: Journal

Type of Copyright:

Languages:

Open Access Policy: Non Open Access

Type of publications:

Publication frecuency: -

Categories: Artificial Intelligence (Q1) Human-Computer Interaction (Q1) Software (Q1)

Price

- €

Inmediate OA

- €

Embargoed OA

0 €

Non OA

Metrics

37,044

SJR Impact factor

39

H Index

3

Total Docs (Last Year)

13

Total Docs (3 years)

897

Total Refs

955

Total Cites (3 years)

13

Citable Docs (3 years)

100.11

Cites/Doc (2 years)

299.0

Ref/Doc

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Aims and Scope

Best articles by citations

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Kernels for Vector-Valued Functions: A Review

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

A Tutorial on Thompson Sampling

Explaining the Success of Nearest

Optimization with Sparsity-Inducing Penalties

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

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An Introduction to Variational Autoencoders

An Introduction to Wishart Matrix Moments

Backward Simulation Methods for Monte Carlo Statistical Inference

Graphical Models, Exponential Families, and Variational Inference

Randomized Algorithms for Matrices and Data

Learning Representation and Control in Markov Decision Processes: New Frontiers

Online Learning and Online Convex Optimization

Determinantal Point Processes for Machine Learning