Active learning with support vector machines

Publikation: Bidrag til tidsskriftReviewForskningfagfællebedømt

Standard

Active learning with support vector machines. / Kremer, Jan; Pedersen, Kim Steenstrup; Igel, Christian.

I: Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, Bind 4, Nr. 4, 2014, s. 313-326.

Publikation: Bidrag til tidsskriftReviewForskningfagfællebedømt

Harvard

Kremer, J, Pedersen, KS & Igel, C 2014, 'Active learning with support vector machines', Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, bind 4, nr. 4, s. 313-326. https://doi.org/10.1002/widm.1132

APA

Kremer, J., Pedersen, K. S., & Igel, C. (2014). Active learning with support vector machines. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 4(4), 313-326. https://doi.org/10.1002/widm.1132

Vancouver

Kremer J, Pedersen KS, Igel C. Active learning with support vector machines. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery. 2014;4(4):313-326. https://doi.org/10.1002/widm.1132

Author

Kremer, Jan ; Pedersen, Kim Steenstrup ; Igel, Christian. / Active learning with support vector machines. I: Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery. 2014 ; Bind 4, Nr. 4. s. 313-326.

Bibtex

@article{d2463dfe172c4930b064828d9457ac01,
title = "Active learning with support vector machines",
author = "Jan Kremer and Pedersen, {Kim Steenstrup} and Christian Igel",
year = "2014",
doi = "10.1002/widm.1132",
language = "English",
volume = "4",
pages = "313--326",
journal = "Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery",
issn = "1942-4787",
publisher = "JohnWiley & Sons Ltd",
number = "4",

}

RIS

TY - JOUR

T1 - Active learning with support vector machines

AU - Kremer, Jan

AU - Pedersen, Kim Steenstrup

AU - Igel, Christian

PY - 2014

Y1 - 2014

U2 - 10.1002/widm.1132

DO - 10.1002/widm.1132

M3 - Review

VL - 4

SP - 313

EP - 326

JO - Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery

JF - Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery

SN - 1942-4787

IS - 4

ER -

ID: 122495682