Tampere University of Technology

TUTCRIS Research Portal

Active learning for Bayesian network models of biologial networks using structure priors

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Standard

Active learning for Bayesian network models of biologial networks using structure priors. / Larjo, Antti; Lähdesmäki, Harri.

IEEE International Workshop on Genomic Signal processing and Statistics, GENSIPS 2013, 17-19 November 2013, Houston, Texas. Institute of Electrical and Electronics Engineers IEEE, 2013. (IEEE International Workshop on Genomic Signal processing and Statistics).

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Harvard

Larjo, A & Lähdesmäki, H 2013, Active learning for Bayesian network models of biologial networks using structure priors. in IEEE International Workshop on Genomic Signal processing and Statistics, GENSIPS 2013, 17-19 November 2013, Houston, Texas. IEEE International Workshop on Genomic Signal processing and Statistics, Institute of Electrical and Electronics Engineers IEEE, IEEE INTERNATIONAL WORKSHOP ON GENOMIC SIGNAL PROCESSING AND STATISTICS, 1/01/00. https://doi.org/10.1109/GENSIPS.2013.6735937

APA

Larjo, A., & Lähdesmäki, H. (2013). Active learning for Bayesian network models of biologial networks using structure priors. In IEEE International Workshop on Genomic Signal processing and Statistics, GENSIPS 2013, 17-19 November 2013, Houston, Texas (IEEE International Workshop on Genomic Signal processing and Statistics). Institute of Electrical and Electronics Engineers IEEE. https://doi.org/10.1109/GENSIPS.2013.6735937

Vancouver

Larjo A, Lähdesmäki H. Active learning for Bayesian network models of biologial networks using structure priors. In IEEE International Workshop on Genomic Signal processing and Statistics, GENSIPS 2013, 17-19 November 2013, Houston, Texas. Institute of Electrical and Electronics Engineers IEEE. 2013. (IEEE International Workshop on Genomic Signal processing and Statistics). https://doi.org/10.1109/GENSIPS.2013.6735937

Author

Larjo, Antti ; Lähdesmäki, Harri. / Active learning for Bayesian network models of biologial networks using structure priors. IEEE International Workshop on Genomic Signal processing and Statistics, GENSIPS 2013, 17-19 November 2013, Houston, Texas. Institute of Electrical and Electronics Engineers IEEE, 2013. (IEEE International Workshop on Genomic Signal processing and Statistics).

Bibtex - Download

@inproceedings{a2163ec065354d1bafa66ce154f3bf96,
title = "Active learning for Bayesian network models of biologial networks using structure priors",
author = "Antti Larjo and Harri L{\"a}hdesm{\"a}ki",
note = "Contribution: organisation=sgn,FACT1=1<br/>Portfolio EDEND: 2013-12-29<br/>Publisher name: Institute of Electrical and Electronics Engineers IEEE",
year = "2013",
doi = "10.1109/GENSIPS.2013.6735937",
language = "English",
isbn = "978-1-4799-3461-4",
series = "IEEE International Workshop on Genomic Signal processing and Statistics",
publisher = "Institute of Electrical and Electronics Engineers IEEE",
booktitle = "IEEE International Workshop on Genomic Signal processing and Statistics, GENSIPS 2013, 17-19 November 2013, Houston, Texas",

}

RIS (suitable for import to EndNote) - Download

TY - GEN

T1 - Active learning for Bayesian network models of biologial networks using structure priors

AU - Larjo, Antti

AU - Lähdesmäki, Harri

N1 - Contribution: organisation=sgn,FACT1=1<br/>Portfolio EDEND: 2013-12-29<br/>Publisher name: Institute of Electrical and Electronics Engineers IEEE

PY - 2013

Y1 - 2013

U2 - 10.1109/GENSIPS.2013.6735937

DO - 10.1109/GENSIPS.2013.6735937

M3 - Conference contribution

SN - 978-1-4799-3461-4

T3 - IEEE International Workshop on Genomic Signal processing and Statistics

BT - IEEE International Workshop on Genomic Signal processing and Statistics, GENSIPS 2013, 17-19 November 2013, Houston, Texas

PB - Institute of Electrical and Electronics Engineers IEEE

ER -