Works matching IS 08856125 AND DT 2022 AND VI 111 AND IP 1

Results: 12

Smoothing graphons for modelling exchangeable relational data.

Published in:

Machine Learning, 2022, v. 111, n. 1, p. 319, doi. 10.1007/s10994-021-06046-y

By:

Li, Yaqiong;
Fan, Xuhui;
Chen, Ling;
Li, Bin;
Sisson, Scott A.

Publication type:

Article

InfoGram and admissible machine learning.

Published in:

Machine Learning, 2022, v. 111, n. 1, p. 205, doi. 10.1007/s10994-021-06121-4

By:

Mukhopadhyay, Subhadeep

Publication type:

Article

Stronger data poisoning attacks break data sanitization defenses.

Published in:

Machine Learning, 2022, v. 111, n. 1, p. 1, doi. 10.1007/s10994-021-06119-y

By:

Koh, Pang Wei;
Steinhardt, Jacob;
Liang, Percy

Publication type:

Article

SAMBA: safe model-based & active reinforcement learning.

Published in:

Machine Learning, 2022, v. 111, n. 1, p. 173, doi. 10.1007/s10994-021-06103-6

By:

Cowen-Rivers, Alexander I.;
Palenicek, Daniel;
Moens, Vincent;
Abdullah, Mohammed Amin;
Sootla, Aivar;
Wang, Jun;
Bou-Ammar, Haitham

Publication type:

Article

Inductive logic programming at 30.

Published in:

Machine Learning, 2022, v. 111, n. 1, p. 147, doi. 10.1007/s10994-021-06089-1

By:

Cropper, Andrew;
Dumančić, Sebastijan;
Evans, Richard;
Muggleton, Stephen H.

Publication type:

Article

Quick and robust feature selection: the strength of energy-efficient sparse training for autoencoders.

Published in:

Machine Learning, 2022, v. 111, n. 1, p. 377, doi. 10.1007/s10994-021-06063-x

By:

Atashgahi, Zahra;
Sokar, Ghada;
van der Lee, Tim;
Mocanu, Elena;
Mocanu, Decebal Constantin;
Veldhuis, Raymond;
Pechenizkiy, Mykola

Publication type:

Article

Learning from interpretation transition using differentiable logic programming semantics.

Published in:

Machine Learning, 2022, v. 111, n. 1, p. 123, doi. 10.1007/s10994-021-06058-8

By:

Gao, Kun;
Wang, Hanpin;
Cao, Yongzhi;
Inoue, Katsumi

Publication type:

Article

Understanding generalization error of SGD in nonconvex optimization.

Published in:

Machine Learning, 2022, v. 111, n. 1, p. 345, doi. 10.1007/s10994-021-06056-w

By:

Zhou, Yi;
Liang, Yingbin;
Zhang, Huishuai

Publication type:

Article

How to measure uncertainty in uncertainty sampling for active learning.

Published in:

Machine Learning, 2022, v. 111, n. 1, p. 89, doi. 10.1007/s10994-021-06003-9

By:

Nguyen, Vu-Linh;
Shaker, Mohammad Hossein;
Hüllermeier, Eyke

Publication type:

Article

ReliefE: feature ranking in high-dimensional spaces via manifold embeddings.

Published in:

Machine Learning, 2022, v. 111, n. 1, p. 273, doi. 10.1007/s10994-021-05998-5

By:

Škrlj, Blaž;
Džeroski, Sašo;
Lavrač, Nada;
Petković, Matej

Publication type:

Article

Embed2Detect: temporally clustered embedded words for event detection in social media.

Published in:

Machine Learning, 2022, v. 111, n. 1, p. 49, doi. 10.1007/s10994-021-05988-7

By:

Hettiarachchi, Hansi;
Adedoyin-Olowe, Mariam;
Bhogal, Jagdev;
Gaber, Mohamed Medhat

Publication type:

Article

Boosting Poisson regression models with telematics car driving data.

Published in:

Machine Learning, 2022, v. 111, n. 1, p. 243, doi. 10.1007/s10994-021-05957-0

By:

Gao, Guangyuan;
Wang, He;
Wüthrich, Mario V.

Publication type:

Article