research-article

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

Get Access

Abstract

No abstract available.

Cited By

View all

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
Show More Cited By

Index Terms

Tutorial summary: Active learning

Recommendations

Workshop Summary of AISec'14: 2014 Workshop on Artificial Intelligent and Security
CCS '14: Proceedings of the 2014 ACM SIGSAC Conference on Computer and Communications Security

It is our great pleasure to welcome you to the 2014 ACM Workshop Artificial Intelligence and Security (AISec 2014) -- the seventh annual workshop addressing technologies that fuse intelligent systems into computer security applications and the ...
Transfer active learning
CIKM '11: Proceedings of the 20th ACM international conference on Information and knowledge management

Active learning traditionally assumes that labeled and unlabeled samples are subject to the same distributions and the goal of an active learner is to label the most informative unlabeled samples. In reality, situations may exist that we may not have ...
Current and emerging topics in software architecture (ECSA 2010 Workshops Summary)
ECSA '10: Proceedings of the Fourth European Conference on Software Architecture: Companion Volume

Since 2004 in St. Andrews (Scotland, U.K.), ECSA the European Conference on Software Architecture (formerly EWSA, the European Workshop on Software Architecture) has been considered as an important meeting point for researchers and practitioners on the ...

Comments

Information & Contributors

Information

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]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 14 June 2009

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Qualifiers

Research-article

Conference

ICML '09

Sponsor:

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

Acceptance Rates

Overall Acceptance Rate 140 of 548 submissions, 26%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

24
Total Citations
View Citations
0
Total Downloads

Downloads (Last 12 months)0
Downloads (Last 6 weeks)0

Reflects downloads up to

Other Metrics

View Author Metrics

Citations

Cited By

View all

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
Show More Cited By

View Options

Get Access

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Cited By

Index Terms

Recommendations

Workshop Summary of AISec'14: 2014 Workshop on Artificial Intelligent and Security

Transfer active learning

Current and emerging topics in software architecture (ECSA 2010 Workshops Summary)

Comments

Published In

Sponsors

Publisher

Publication History

Permissions

Check for updates

Qualifiers

Conference

Acceptance Rates

Other Metrics

Article Metrics

Other Metrics

Cited By

Login options

Full Access

Abstract

Cited By

Index Terms

Recommendations

Workshop Summary of AISec'14: 2014 Workshop on Artificial Intelligent and Security

Transfer active learning

Current and emerging topics in software architecture (ECSA 2010 Workshops Summary)

Comments

Information

Published In

Sponsors

Publisher

Publication History

Permissions

Check for updates

Qualifiers

Conference

Acceptance Rates

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Cited By

Get Access

Login options

Full Access

View options

Figures

Other

Share

Share this Publication link

Share on social media

Affiliations