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Topic: Machine Learning and Algorithms ×

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Papers matching “acquisition functions” in Machine Learning and Algorithms 4

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Active Learning Using Aggregated Acquisition Functions: Accuracy and Sustainability Analysis
2026 IEEE Journal of Selected Topics in Signal Processing article Computer Science Machine Learning and Algorithms Open access

Cédric Jung, Shirin Salehi, Anke Schmeink

0

citations
Active Learning with Alternating Acquisition Functions: Balancing the Exploration-Exploitation Dilemma
2024 IEEE International Conference on Big Data (BigData) conference-paper Computer Science Machine Learning and Algorithms

Cédric Jung, Shirin Salehi, Anke Schmeink

1

citations
FAL-CUR: Fair Active Learning using Uncertainty and Representativeness on Fair Clustering
2023 Expert Systems with Applications article Computer Science Machine Learning and Algorithms Open access

Ricky Maulana Fajri, Akrati Saxena, Yulong Pei, Mykola Pechenizkiy

6

citations
FAL-CUR: Fair Active Learning using Uncertainty and Representativeness on Fair Clustering
2022 arXiv (Cornell University) preprint Computer Science Machine Learning and Algorithms Open access

Ricky Maulana Fajri, Akrati Saxena, Mykola Pechenizkiy

0

citations

4 results