Variable Selection for Regression Problems Using Gaussian Mixture Models to Estimate Mutual Information

Emil Eirola, Amaury Lendasse, Juha Karhunen

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

2 Citations (Scopus)

Original language	English
Title of host publication	International Joint Conference on Neural Networks, IJCNN2014, 6-11 July, Beijing, China
Pages	1606-1613
Publication status	Published - 2014
MoE publication type	A4 Article in a conference publication

OpenUrl availability

@inproceedings{ead52bc2e23542898a718eb02fd18ca2,

title = "Variable Selection for Regression Problems Using Gaussian Mixture Models to Estimate Mutual Information",

author = "Emil Eirola and Amaury Lendasse and Juha Karhunen",

note = "VK: airc",

year = "2014",

language = "English",

isbn = "978-1-4799-6627-1",

pages = "1606--1613",

booktitle = "International Joint Conference on Neural Networks, IJCNN2014, 6-11 July, Beijing, China",

}

International Joint Conference on Neural Networks, IJCNN2014, 6-11 July, Beijing, China. 2014. p. 1606-1613.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Variable Selection for Regression Problems Using Gaussian Mixture Models to Estimate Mutual Information

AU - Eirola, Emil

AU - Lendasse, Amaury

AU - Karhunen, Juha

N1 - VK: airc

PY - 2014

Y1 - 2014

UR - http://dx.doi.org/10.1109/IJCNN.2014.6889561

M3 - Conference contribution

SN - 978-1-4799-6627-1

SP - 1606

EP - 1613

BT - International Joint Conference on Neural Networks, IJCNN2014, 6-11 July, Beijing, China

ER -