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Challenges in Statistical Machine Learning

2005
Machine learning and statistics are one and the same discipline, with different communities of researchers attacking essentially the same fundamental problems from different perspectives. In this note we briefly describe some current challenges in the fi eld of statistical machine learning that cut across the communities.
Lafferty, John D., Wasserman, Larry
openaire   +1 more source

Statistical (Machine) Learning

2022
Andrew F. Siegel, Michael R. Wagner
openaire   +1 more source

Statistical thinking, machine learning

Journal of Clinical Epidemiology, 2019
Jiang, Bian   +3 more
openaire   +2 more sources

Statistical Issues in Machine Learning

2008
Recursive partitioning methods from machine learning are being widely applied in many scientific fields such as, e.g., genetics and bioinformatics. The present work is concerned with the two main problems that arise in recursive partitioning, instability and biased variable selection, from a statistical point of view.
openaire   +1 more source

Cancer treatment and survivorship statistics, 2022

Ca-A Cancer Journal for Clinicians, 2022
Kimberly D Miller   +2 more
exaly  

Cancer statistics, 2023

Ca-A Cancer Journal for Clinicians, 2023
Rebecca L Siegel   +2 more
exaly  

Cancer statistics, 2022

Ca-A Cancer Journal for Clinicians, 2022
Rebecca L Siegel   +2 more
exaly  

Cancer Statistics, 2021

Ca-A Cancer Journal for Clinicians, 2021
Rebecca L Siegel   +2 more
exaly  

Machine Learning, Neural, and Statistical Classification.

Journal of the American Statistical Association, 1995
Bill Fulkerson   +3 more
openaire   +1 more source

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