Results 171 to 180 of about 7,740,063 (200)
Some of the next articles are maybe not open access.
2009
The application of Machine Learning (ML) and Data Mining (DM) tools to classification and regression tasks has become a standard, not only in research but also in administrative agencies, commerce and industry (e.g., finance, medicine, engineering).
Pavel B. Brazdil +3 more
openaire +1 more source
The application of Machine Learning (ML) and Data Mining (DM) tools to classification and regression tasks has become a standard, not only in research but also in administrative agencies, commerce and industry (e.g., finance, medicine, engineering).
Pavel B. Brazdil +3 more
openaire +1 more source
Meta-Learning in Reinforcement Learning
Neural Networks, 2003Meta-parameters in reinforcement learning should be tuned to the environmental dynamics and the animal performance. Here, we propose a biologically plausible meta-reinforcement learning algorithm for tuning these meta-parameters in a dynamic, adaptive manner.
Kenji Doya, Nicolas Schweighofer
exaly +4 more sources
Goal of this work is to make acquaintance and study meta-learningu methods, program algorithm and compare with other machine learning methods.
Hang Wang, Sen Lin, Junshan Zhang
+6 more sources
Hang Wang, Sen Lin, Junshan Zhang
+6 more sources
2022 26th International Conference on Pattern Recognition (ICPR), 2022
Nico Zengeler +2 more
openaire +1 more source
Nico Zengeler +2 more
openaire +1 more source
Machine Learning in Epigenetic Diseases
Medical Epigenetics, 2021Robert E Akins, Karyn Robinson
exaly
Meta-Learning in Neural Networks: A Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022Timothy M. Hospedales +2 more
exaly
Meta-Learning Approaches for Learning-to-Learn in Deep Learning: A Survey
Neurocomputing, 2022Yingjie Tian
exaly
Meta-Seg: A Survey of Meta-Learning for Image Segmentation
Pattern Recognition, 2022Yichuan Wang, Seiichi Serikawa
exaly