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Proceedings of Machine Learning Research

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Proceedings of Machine Learning Research
PMLR · 2026-06-02 · via Proceedings of Machine Learning Research

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Volume 16: Active Learning and Experimental Design workshop In conjunction with AISTATS 2010, 16 May 2010, Sardinia, Italy

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Editors: Isabelle Guyon, Gavin Cawley, Gideon Dror, Vincent Lemaire, Alexander Statnikov

[bib][citeproc]

Contents:

  • Tutorial
  • Active Learning Challenge
  • Case Studies in Active Learning

Filter Authors: Filter Titles:

Tutorial

From Theories to Queries: Active Learning in Practice

; Active Learning and Experimental Design workshop In conjunction with AISTATS 2010, PMLR 16:1-18

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Active Learning Challenge

Case Studies in Active Learning

Autonomous Experimentation:Active Learning for Enzyme Response Characterisation

Cliff Lovell, Gareth Jones, Steve R. Gunn, Klaus-Peter Zauner; Active Learning and Experimental Design workshop In conjunction with AISTATS 2010, PMLR 16:141-155

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Managing Uncertainty within the KTD Framework

Matthieu Geist, Olivier Pietquin; Active Learning and Experimental Design workshop In conjunction with AISTATS 2010, PMLR 16:157-168

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Inspecting Sample Reusability for Active Learning

Katrin Tomanek, Katherina Morik; Active Learning and Experimental Design workshop In conjunction with AISTATS 2010, PMLR 16:169-181

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Results of the Active Learning Challenge

Isabelle Guyon, Gavin C. Cawley, Gideon Dror, Vincent Lemaire; Active Learning and Experimental Design workshop In conjunction with AISTATS 2010, PMLR 16:19-45

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Baseline Methods for Active Learning

Gavin C. Cawley; Active Learning and Experimental Design workshop In conjunction with AISTATS 2010, PMLR 16:47-57

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Active Batch Learning with Stochastic Query-by-Forest (SQBF)

Alexander Borisov, Eugene Tuv, George Runger; Active Learning and Experimental Design workshop In conjunction with AISTATS 2010, PMLR 16:59-69

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Active Learning and Experimental Design with SVMs

Chia-Hua Ho, Ming-Hen Tsai, Chih-Jen Lin; Active Learning and Experimental Design workshop In conjunction with AISTATS 2010, PMLR 16:71-84

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Stochastic Semi-supervised Learning on Partially Labeled Imbalanced Data

Jianjun Xie, Tao Xiong; Active Learning and Experimental Design workshop In conjunction with AISTATS 2010, PMLR 16:85-98

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An Active Learning Algorithm Based on Parzen Window Classiffication

Liang Lan, Haidong Shi, Zhuang Wang, Slobodan Vucetic; Active Learning and Experimental Design workshop In conjunction with AISTATS 2010, PMLR 16:99-112

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Active Learning for Unbalanced Data in the Challenge with Multiple Models and Biasing

Yukun Chen, Subramani Mani; Active Learning and Experimental Design workshop In conjunction with AISTATS 2010, PMLR 16:113-126

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Active Learning with Clustering

Zalán Bodó, Zsolt Minier, Lehel Csató; Active Learning and Experimental Design workshop In conjunction with AISTATS 2010, PMLR 16:127-139

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