E-LIB Suche - Ergebnisse für: van Rijn, Jan N.

1

Learning Curve Extrapolation Methods Across Extrapolation S..:

, In: Lecture Notes in Computer Science; Advances in Intelligent Data Analysis XXII,

Kielhöfer, Lionel ; Mohr, Felix ; van Rijn, Jan N. - p. 145-157 , 2024

2

Guest Editorial: AutoML for Nonstationary Data:

Cheng, Ran ; Escalante, Hugo Jair ; Tu, Wei-Wei...
IEEE Transactions on Artificial Intelligence. 5 (2024) 6 - p. 2456-2457 , 2024

Link: https://doi.org/10.1109/..

3

Automated machine learning: past, present and future:

Baratchi, Mitra ; Wang, Can ; Limmer, Steffen...
Artificial Intelligence Review. 57 (2024) 5 - p. , 2024

Link: https://doi.org/10.1007/..

4

The Bigger Fish: A Comparison of Meta-Learning QSAR Models ..:

Schlender, Thalea ; Viljanen, Markus ; van Rijn, Jan N....
Environmental Science & Technology. 57 (2023) 46 - p. 17818-17830 , 2023

Link: https://doi.org/10.1021/..

5

Understanding transfer learning and gradient-based meta-lea..:

Huisman, Mike ; Plaat, Aske ; van Rijn, Jan N.
Machine Learning. 113 (2023) 7 - p. 4113-4132 , 2023

Link: https://doi.org/10.1007/..

6

LCDB 1.0: An Extensive Learning Curves Database for Classif..:

, In: Machine Learning and Knowledge Discovery in Databases; Lecture Notes in Computer Science,

Mohr, Felix ; Viering, Tom J. ; Loog, Marco. - p. 3-19 , 2023

Link: https://doi.org/10.1007/..

7

Are LSTMs good few-shot learners?:

Huisman, Mike ; Moerland, Thomas M. ; Plaat, Aske.
Machine Learning. 112 (2023) 11 - p. 4635-4662 , 2023

Link: https://doi.org/10.1007/..

8

Hyperparameter importance and optimization of quantum neura..:

Moussa, Charles ; Patel, Yash J. ; Dunjko, Vedran..
Machine Learning. 113 (2023) 4 - p. 1941-1966 , 2023

Link: https://doi.org/10.1007/..

9

Subspace Adaptation Prior for Few-Shot Learning:

Huisman, Mike ; Plaat, Aske ; van Rijn, Jan N.
Machine Learning. 113 (2023) 2 - p. 725-752 , 2023

Link: https://doi.org/10.1007/..

10

Fast and Informative Model Selection Using Learning Curve C..:

Mohr, Felix ; van Rijn, Jan N.
IEEE Transactions on Pattern Analysis and Machine Intelligence. 45 (2023) 8 - p. 9669-9680 , 2023

Link: https://doi.org/10.1109/..

11

Hyperparameter Importance of Quantum Neural Networks Across..:

, In: Discovery Science; Lecture Notes in Computer Science,

Moussa, Charles ; van Rijn, Jan N. ; Bäck, Thomas. - p. 32-46 , 2022

Link: https://doi.org/10.1007/..

12

Stateless neural meta-learning using second-order gradients:

Huisman, Mike ; Plaat, Aske ; van Rijn, Jan N.
Machine Learning. 111 (2022) 9 - p. 3227-3244 , 2022

Link: https://doi.org/10.1007/..

13

Concluding Remarks:

, In: Metalearning; Cognitive Technologies,

Brazdil, Pavel ; van Rijn, Jan N. ; Soares, Carlos. - p. 329-337 , 2022

Link: https://doi.org/10.1007/..

14

Metalearning: Applications to Automated Machine Learning an..

Cognitive Technologies

Brazdil, Pavel ; van Rijn, Jan N ; Soares, Carlos. - 2nd ed. 2022 . , 2022

Link: https://doi.org/10.1007/..

15

Metalearning for Deep Neural Networks:

, In: Metalearning; Cognitive Technologies,

Huisman, Mike ; van Rijn, Jan N. ; Plaat, Aske - p. 237-267 , 2022

Link: https://doi.org/10.1007/..