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Tutorial summary: Active learning

Authors:

Sanjoy Dasgupta,

John LangfordAuthors Info & Claims

ICML '09: Proceedings of the 26th Annual International Conference on Machine Learning

Article No.: 18, Page 1

https://doi.org/10.1145/1553374.1553559

Published: 14 June 2009 Publication History

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Farou ZOuaari SDomian BHorváth T(2022)Directed Undersampling Using Active Learning for Particle IdentificationRecent Innovations in Computing10.1007/978-981-16-8892-8_12(149-162)Online publication date: 16-Apr-2022
https://doi.org/10.1007/978-981-16-8892-8_12
Truong AEtesami SKiyavash N(2021)Selective Labeling in Learning with Expert Advice2021 American Control Conference (ACC)10.23919/ACC50511.2021.9482705(2537-2542)Online publication date: 25-May-2021
https://doi.org/10.23919/ACC50511.2021.9482705
Hirzel MBaudart GBonifati ADella Valle ESakr SAkrivi Vlachou A(2018)Stream Processing Languages in the Big Data EraACM SIGMOD Record10.1145/3299887.329989247:2(29-40)Online publication date: 11-Dec-2018
https://dl.acm.org/doi/10.1145/3299887.3299892
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Tutorial summary: Active learning

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Published In

ICML '09: Proceedings of the 26th Annual International Conference on Machine Learning

June 2009

1331 pages

ISBN:9781605585161

DOI:10.1145/1553374

General Chair:
Andrea Danyluk
Williams College
,
Program Chairs:
Léon Bottou
NEC Laboratories America
,
Michael Littman
Rutgers University

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 14 June 2009

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ICML '09

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Microsoft Research

ICML '09: The 26th Annual International Conference on Machine Learning held in conjunction with the 2007 International Conference on Inductive Logic Programming

June 14 - 18, 2009

Quebec, Montreal, Canada

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Overall Acceptance Rate 140 of 548 submissions, 26%

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Farou ZOuaari SDomian BHorváth T(2022)Directed Undersampling Using Active Learning for Particle IdentificationRecent Innovations in Computing10.1007/978-981-16-8892-8_12(149-162)Online publication date: 16-Apr-2022
https://doi.org/10.1007/978-981-16-8892-8_12
Truong AEtesami SKiyavash N(2021)Selective Labeling in Learning with Expert Advice2021 American Control Conference (ACC)10.23919/ACC50511.2021.9482705(2537-2542)Online publication date: 25-May-2021
https://doi.org/10.23919/ACC50511.2021.9482705
Hirzel MBaudart GBonifati ADella Valle ESakr SAkrivi Vlachou A(2018)Stream Processing Languages in the Big Data EraACM SIGMOD Record10.1145/3299887.329989247:2(29-40)Online publication date: 11-Dec-2018
https://dl.acm.org/doi/10.1145/3299887.3299892
Polyzotis NRoy SWhang SZinkevich M(2018)Data Lifecycle Challenges in Production Machine LearningACM SIGMOD Record10.1145/3299887.329989147:2(17-28)Online publication date: 11-Dec-2018
https://dl.acm.org/doi/10.1145/3299887.3299891
Inoue MMiura T(2017)Learning Actively for Sequence Classification2017 Conference on Technologies and Applications of Artificial Intelligence (TAAI)10.1109/TAAI.2017.36(50-53)Online publication date: Dec-2017
https://doi.org/10.1109/TAAI.2017.36
Inoue MShirai MMiura T(2017)Sequence Classification Based on Active LearningSoftware Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing10.1007/978-3-319-62048-0_1(1-15)Online publication date: 24-Jun-2017
https://doi.org/10.1007/978-3-319-62048-0_1
Hu SSu LLiu HWang HAbdelzaher T(2015)SmartRoadACM Transactions on Sensor Networks10.1145/277087611:4(1-27)Online publication date: 20-Jul-2015
https://dl.acm.org/doi/10.1145/2770876
Wang FSun J(2015)Survey on distance metric learning and dimensionality reduction in data miningData Mining and Knowledge Discovery10.1007/s10618-014-0356-z29:2(534-564)Online publication date: 1-Mar-2015
https://dl.acm.org/doi/10.1007/s10618-014-0356-z
Miloud-Aouidate ABaba-Ali A(2014)An Improved Ant-IS Algorithm for Intrusion DetectionInternational Journal of Applied Metaheuristic Computing10.4018/ijamc.20140101045:1(65-78)Online publication date: 1-Jan-2014
https://dl.acm.org/doi/10.4018/ijamc.2014010104
Sankaranarayanan KDhurandhar AHe QIyengar ANejdl WPei JRastogi R(2013)Intelligently querying incomplete instances for improving classification performanceProceedings of the 22nd ACM international conference on Information & Knowledge Management10.1145/2505515.2505570(2169-2178)Online publication date: 27-Oct-2013
https://dl.acm.org/doi/10.1145/2505515.2505570
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Workshop Summary of AISec'14: 2014 Workshop on Artificial Intelligent and Security

Transfer active learning

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