The rise and fall of supervised machine learning techniques

Research output: Contribution to journal › Journal article › Research › peer-review

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The rise and fall of supervised machine learning techniques. / Jensen, Lars Juhl; Bateman, Alex.

In: Bioinformatics (Online), Vol. 27, No. 24, 2011, p. 3331-2.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Jensen, LJ & Bateman, A 2011, 'The rise and fall of supervised machine learning techniques', Bioinformatics (Online), vol. 27, no. 24, pp. 3331-2. https://doi.org/10.1093/bioinformatics/btr585

APA

Jensen, L. J., & Bateman, A. (2011). The rise and fall of supervised machine learning techniques. Bioinformatics (Online), 27(24), 3331-2. https://doi.org/10.1093/bioinformatics/btr585

Vancouver

Jensen LJ, Bateman A. The rise and fall of supervised machine learning techniques. Bioinformatics (Online). 2011;27(24):3331-2. https://doi.org/10.1093/bioinformatics/btr585

Author

Jensen, Lars Juhl ; Bateman, Alex. / The rise and fall of supervised machine learning techniques. In: Bioinformatics (Online). 2011 ; Vol. 27, No. 24. pp. 3331-2.

Bibtex

@article{4980fba85aae45dc87ea93ba84473d98,
title = "The rise and fall of supervised machine learning techniques",
keywords = "Algorithms, Artificial Intelligence, Computational Biology, Humans, Neural Networks (Computer), Support Vector Machines",
author = "Jensen, {Lars Juhl} and Alex Bateman",
year = "2011",
doi = "10.1093/bioinformatics/btr585",
language = "English",
volume = "27",
pages = "3331--2",
journal = "Bioinformatics (Online)",
issn = "1367-4811",
publisher = "Oxford University Press",
number = "24",

}

RIS

TY - JOUR

T1 - The rise and fall of supervised machine learning techniques

AU - Jensen, Lars Juhl

AU - Bateman, Alex

PY - 2011

Y1 - 2011

KW - Algorithms

KW - Artificial Intelligence

KW - Computational Biology

KW - Humans

KW - Neural Networks (Computer)

KW - Support Vector Machines

U2 - 10.1093/bioinformatics/btr585

DO - 10.1093/bioinformatics/btr585

M3 - Journal article

C2 - 22101152

VL - 27

SP - 3331

EP - 3332

JO - Bioinformatics (Online)

JF - Bioinformatics (Online)

SN - 1367-4811

IS - 24

ER -

ID: 40290871