Learning-to-learn efficiently with self-learning

Author:

Kunde Shruti1,Choudhry Sharod Roy1,Pandit Amey1,Singhal Rekha1

Affiliation:

1. TCS Research, Mumbai, India

Publisher

ACM

Reference33 articles.

1. Salisu Mamman Abdulrahman , Pavel Brazdil , Jan N van Rijn , and Joaquin Vanschoren . 2018. Speeding up algorithm selection using average ranking and active testing by introducing runtime. Machine learning 107, 1 ( 2018 ), 79--108. Salisu Mamman Abdulrahman, Pavel Brazdil, Jan N van Rijn, and Joaquin Vanschoren. 2018. Speeding up algorithm selection using average ranking and active testing by introducing runtime. Machine learning 107, 1 (2018), 79--108.

2. MFE: Towards reproducible meta-feature extraction;Alcobaça Edesio;J. Mach. Learn. Res.,2020

3. A Case-Based Meta-Learning and Reasoning Framework for Classifiers Selection

4. Algorithm selection based on landmarking meta-feature;Balte Ashvini;Communications,2015

5. Victor H Barella , Luís PF Garcia , and André CPLF de Carvalho . 2020 . Simulating Complexity Measures on Imbalanced Datasets. In Brazilian Conference on Intelligent Systems. Springer, 498--512 . Victor H Barella, Luís PF Garcia, and André CPLF de Carvalho. 2020. Simulating Complexity Measures on Imbalanced Datasets. In Brazilian Conference on Intelligent Systems. Springer, 498--512.

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