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https://en.wikipedia.org/wiki/History_of_Wikipedia#283
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Archived from the original on 4 December 2012. Retrieved 8 December 2012.
- ^ "The Leveson Inquiry: Hacked to pieces". The Economist. 8 December 2012. Archived from the original on 27 December 2012. Retrieved 26 December 2012.
- ^ Gray, Lila (17 September 2013). "Wikipedia Gives Porn a Break". XBIZ.com. Archived from the original on 21 October 2013. Retrieved 20 October 2013.
- ^ Cohen, Jason Z (3 March 2008). "Citizendium's Larry Sanger: Experts Make It Better". LinuxInsider. ECT News Network.
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s Make It Better". LinuxInsider. ECT News Network. Archived from the original on 17 May 2011. Retrieved 8 March 2008.
- ^ McCarthy, Caroline (23 January 2007). "Citizendium: Wikipedia co-founder Sanger's Wikipedia rival". CNET News. Archived from the original on 30 July 2009. Retrieved 5 April 2007.
- ^ "Wikipedia, Die freie Enzyklopädie" (in German). Retrieved 25 April 2007.
- ^ "Neue Wikipedia-DVD im Handel und zum Download" (in German). Archived from the original on 5 June 2007. Retrieved 25
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ed from the original on 5 June 2007. Retrieved 25 April 2007.
- ^ "Wikipedia wird noch nicht gedruckt" (in German). 24 March 2006. Archived from the original on 16 April 2007. Retrieved 25 April 2007.
- ^ online, heise (24 March 2006). "Wikipedia wird noch nicht gedruckt". heise online (in German). Archived from the original on 18 November 2018. Retrieved 16 March 2023.
- ^ "Encyclopodia – the encyclopedia on your iPod". SourceForge. Archived from the original on 27 April 2007. Retrieved 25 Apri
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m the original on 27 April 2007. Retrieved 25 April 2007.
- ^ "SOS Children releases 2006 Wikipedia CD Selection". SOS Children. 4 June 2006. Archived from the original on 18 April 2007. Retrieved 25 April 2007.
- ^ "Wikipedia 0.5 available on a CD-ROM". April 2007. Archived from the original on 27 April 2007. Retrieved 25 April 2007.
- ^ "Wikipedia maakt cd voor internetlozen" (in Dutch). tweakers.net. 25 April 2007. Archived from the original on 28 April 2007. Retrieved 25 April 2007.
- ^ "Wik
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n 28 April 2007. Retrieved 25 April 2007.
- ^ "Wikipedia Version 0.5 at download.kiwix.org".
- ^ "wikipedia_en_wp1-0.5_2007-03.zim directory listing". archive.org.
- ^ "Wikipedia talk:Version 0.7", Wikipedia, 4 March 2022, archived from the original on 22 September 2022, retrieved 18 July 2022
- ^ "Wikipedia Version 0.7 at download.kiwix.org".
- ^ "wikipedia_en_wp1-0.7_2009-05.zim directory listing". archive.org.
- ^ "Wikipedia Version 0.8 at download.kiwix.org".
- ^ "wikipedia_en_wp1-0.8_orig_2
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nload.kiwix.org".
- ^ "wikipedia_en_wp1-0.8_orig_2010-12.zim directory listing". archive.org.
- ^ "Wikipedia:Version 1.0 Editorial Team". 12 June 2022. Archived from the original on 7 July 2022. Retrieved 27 June 2022 – via Wikipedia.
- ^ "Judge tosses Matawan literary agent's defamation lawsuit against Wikipedia – Asbury Park Press". M.app.com. Archived from the original on 10 July 2012. Retrieved 13 April 2010.
- ^ Wikipedia:Wikipedia Signpost/2007-11-05/French lawsuit. 5 November 2007.
- ^ Pa
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2007-11-05/French lawsuit. 5 November 2007.
- ^ Paulson, Michelle (2 December 2013). "In legal victory, German court rules Wikimedia Foundation need not proactively check for illegal or inaccurate content". Diff. Archived from the original on 27 January 2023. Retrieved 16 March 2023.
Further reading
Scholarly studies
- Adams, Julia, Hannah Brückner, and Cambria Naslund. "Who counts as a notable sociologist on Wikipedia?: Gender, race, and the 'professor test'." Socius 5 (2019): 2378023118823946.
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https://en.wikipedia.org/wiki/History_of_Wikipedia#290
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ofessor test'." Socius 5 (2019): 2378023118823946. online
- Bayliss, Gemma. "Exploring the cautionary attitude toward Wikipedia in higher education: Implications for higher education institutions." New Review of Academic Librarianship 19.1 (2013): 36–57.
- Bridges, Laurie M., and Meghan L. Dowell. "A perspective on Wikipedia: Approaches to educational use." Journal of Academic Librarianship 46.1 (2020). online
- Davis, LiAnna L., et al. "The Wikipedia education program as open educational practi
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pedia education program as open educational practice: Global stories." in Open Educational Resources in Higher Education: A Global Perspective (Springer Nature Singapore, 2023) pp. 251–278.
- Gildersleve, Patrick, Renaud Lambiotte, and Taha Yasseri. "Between news and history: Identifying networked topics of collective attention on Wikipedia." Journal of Computational Social Science (2023): 1–31.
- Graells-Garrido, Eduardo, Mounia Lalmas, and Filippo Menczer. "First women, second sex: Gender bias
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https://en.wikipedia.org/wiki/History_of_Wikipedia#292
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ppo Menczer. "First women, second sex: Gender bias in Wikipedia." Proceedings of the 26th ACM conference on hypertext & social media (2015) online
- Konieczny, Piotr. "Teaching with Wikipedia in a 21st‐century classroom: Perceptions of Wikipedia and its educational benefits." Journal of the Association for Information Science and Technology 67.7 (2016): 1523–1534.
- London, Daniel A., et al. "Is Wikipedia a complete and accurate source for musculoskeletal anatomy?" Surgical and Radiologic Anatom
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https://en.wikipedia.org/wiki/History_of_Wikipedia#293
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oskeletal anatomy?" Surgical and Radiologic Anatomy 41 (2019): 1187–1192.
- Reagle Jr., Joseph Michael. Good Faith Collaboration: The Culture of Wikipedia (MIT Press, 2015)
- Salutari, Flavia, et al. "Analyzing Wikipedia users' perceived quality of experience: A large-scale study." IEEE Transactions on Network and Service Management 17.2 (2020): 1082–1095. DOI: 10.1109/TNSM.2020.2978685 States 85% of users are satisfied.
- Sunvy, Ahmed Shafkat, and Raiyan Bin Reza. "Students' Perception of Wikip
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https://en.wikipedia.org/wiki/History_of_Wikipedia#294
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nd Raiyan Bin Reza. "Students' Perception of Wikipedia as an Academic Information Source." Indonesian Journal Of Educational Research and Review 6.1 (2023). online
- Timperley, Claire. "The subversive potential of Wikipedia: A resource for diversifying political science content online." PS: Political Science & Politics 53.3 (2020): 556–560. online
- Torres-Salinas, Daniel, Esteban Romero-Frías, and Wenceslao Arroyo-Machado. "Mapping the backbone of the Humanities through the eyes of Wikipedia."
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https://en.wikipedia.org/wiki/History_of_Wikipedia#295
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of the Humanities through the eyes of Wikipedia." Journal of Informetrics 13.3 (2019): 793–803. online
- Van Dijck, José. "Neutrality and the Wikipedia Principle," in The culture of connectivity: A critical history of social media by Van Dijck, (Oxford University Press, 2013), pp. 132–153.
- Wagner, Claudia, et al. "Women through the glass ceiling: Gender asymmetries in Wikipedia." EPJ Data Science 5 (2016): 1–24. online
- Wang, Ping, and Xiaodan Li. "Assessing the quality of information on wiki
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https://en.wikipedia.org/wiki/History_of_Wikipedia#296
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Li. "Assessing the quality of information on wikipedia: A deep‐learning approach." Journal of the Association for Information Science and Technology 71.1 (2020): 16–28. online
- Zheng, Lei, et al. "The roles bots play in Wikipedia." Proceedings of the ACM on Human-Computer Interaction 3.CSCW (2019): 1–20. online
Contemporary reports
- Baker, Nicholson. "The Charms of Wikipedia," New York Review of Books (March 20, 2008) online
- Poe, Marshall. "The Hive" The Atlantic (Sept 2006), online
- Schif
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https://en.wikipedia.org/wiki/History_of_Wikipedia#297
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The Hive" The Atlantic (Sept 2006), online
- Schiff, Stacy. "Know It All: Can Wikipedia Conquer Expertise?" New Yorker (July 31, 2006) online
Primary sources
- Messer-Kruse, Timothy. "The 'Undue Weight' of Truth on Wikipedia," Chronicle Review of Higher Education (February 12, 2012) online
- Sanger, Larry. "The early history of Nupedia and Wikipedia: A memoir." Open sources 2 (2005): 307–38. online
External links
Wikipedia records and archives
- Wikipedia's project files contain a large quantity
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Wikipedia's project files contain a large quantity of reference and archive material. Useful internal resources on Wikipedia history include:
Historical summaries
- Category:Wikipedia years – historical events by year
- History of Wikipedia – from the Wikipedia:Meta
- meta:Wikimedia News – news and milestones index from all Wikipedias
- Wikipedia:BrilliantProse – predecessor of Wikipedia:Featured articles and Wikipedia:Good articles
- Wikipedia:Historic debates
- Wikipedia:History of Wikipedia b
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https://en.wikipedia.org/wiki/History_of_Wikipedia#299
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istoric debates
- Wikipedia:History of Wikipedia bots
- Wikipedia:Wikipedia records
- Wikipedia:Wikipedia's oldest articles
Milestones, size and statistics
- Stats.wikimedia.org – the Wikimedia Foundation's main interface for all project statistics, including the various and combined Wikipedia's.
- Wikipedia milestones
- Wikipedia:Milestones (inactive)
- Wikipedia:Size of Wikipedia
- Wikipedia:Statistics
Discussion and debate archives
Other
- MediaWiki history
- Nostalgia Wikipedia – a snapshot
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https://en.wikipedia.org/wiki/History_of_Wikipedia#300
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iaWiki history
- Nostalgia Wikipedia – a snapshot of Wikipedia from 20 December 2001, running a later version of MediaWiki for security reasons but using a skin that looks like the software of the time
- Wikipedia:CamelCase and Wikipedia
- Wikipedia:Magnus Manske Day – MediaWiki software goes live into production
- Wikipedia:Volunteer Fire Department – handling of major editorial influx. Disbanded when no longer needed (2004)
- ZIM File Archive, at Internet Archive, contains full Wikipedia snaps
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https://en.wikipedia.org/wiki/History_of_Wikipedia#301
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at Internet Archive, contains full Wikipedia snapshots (as well as articles selections) in multiple languages, from different years. Files can be open with Kiwix software.
Third party
- "Fatally Flawed: Refuting the recent study on encyclopedic accuracy by the journal Nature". Encyclopædia Britannica. March 2006.
- Early Wikipedia snapshot via Internet Archive. 28 February 2001.
- Giles, Jim, "Internet encyclopaedias go head to head". Nature comparison between Wikipedia and Britannica. 14 Decemb
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https://en.wikipedia.org/wiki/History_of_Wikipedia#302
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arison between Wikipedia and Britannica. 14 December 2005 (subscription required)
- Larry Sanger. "The Early History of Nupedia and Wikipedia: A Memoir" and "Part II". Slashdot. 18 April 2005 to 19 April 2005.
- Nature's responses to Encyclopædia Britannica. Nature. 23 March 2006. (subscription required)
- New York Times on Wikipedia. September 2001.
- The Free Universal Encyclopedia and Learning Resource – Free Software Foundation endorsement of Nupedia (later updated to include Wikipedia). 199
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https://en.wikipedia.org/wiki/History_of_Wikipedia#303
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Nupedia (later updated to include Wikipedia). 1999.
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https://en.wikipedia.org/wiki/List_of_datasets_for_machine-learning_research#0
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List of datasets for machine-learning research
These datasets are used in machine learning (ML) research and have been cited in peer-reviewed academic journals. Datasets are an integral part of the field of machine learning. Major advances in this field can result from advances in learning algorithms (such as deep learning), computer hardware, and, less-intuitively, the availability of high-quality training datasets.[1] High-quality labeled training datasets for supervised and semi-supervised ma
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ing datasets for supervised and semi-supervised machine learning algorithms are usually difficult and expensive to produce because of the large amount of time needed to label the data. Although they do not need to be labeled, high-quality datasets for unsupervised learning can also be difficult and costly to produce.[2][3][4]
Many organizations, including governments, publish and share their datasets. The datasets are classified, based on the licenses, as Open data and Non-Open data.
The dataset
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enses, as Open data and Non-Open data.
The datasets from various governmental-bodies are presented in List of open government data sites. The datasets are ported on open data portals. They are made available for searching, depositing and accessing through interfaces like Open API. The datasets are made available as various sorted types and subtypes.
List of sorting used for datasets
[edit]The data portal is classified based on its type of license. The open source license based data portals are k
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. The open source license based data portals are known as open data portals which are used by many government organizations and academic institutions.
List of open data portals
[edit]List of portals suitable for multiple types of applications
[edit]The data portal sometimes lists a wide variety of subtypes of datasets pertaining to many machine learning applications.
List of portals suitable for a specific subtype of applications
[edit]The data portals which are suitable for a specific subtype o
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ortals which are suitable for a specific subtype of machine learning application are listed in the subsequent sections.
Image data
[edit]Text data
[edit]These datasets consist primarily of text for tasks such as natural language processing, sentiment analysis, translation, and cluster analysis.
Reviews
[edit]News articles
[edit]Messages
[edit]Twitter and tweets
[edit]Dialogues
[edit]Legal
[edit]Other text
[edit]Sound data
[edit]These datasets consist of sounds and sound features used for tasks s
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sist of sounds and sound features used for tasks such as speech recognition and speech synthesis.
Speech
[edit]Music
[edit]Other sounds
[edit]Signal data
[edit]Datasets containing electric signal information requiring some sort of signal processing for further analysis.
Electrical
[edit]Motion-tracking
[edit]Other signals
[edit]Physical data
[edit]Datasets from physical systems.
High-energy physics
[edit]Systems
[edit]Astronomy
[edit]Earth science
[edit]Other physical
[edit]Biological data
[edit
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e
[edit]Other physical
[edit]Biological data
[edit]Datasets from biological systems.
Human
[edit]Animal
[edit]Fungi
[edit]Plant
[edit]Microbe
[edit]Drug discovery
[edit]Anomaly data
[edit]Question answering data
[edit]This section includes datasets that deals with structured data.
Dialog or instruction prompted data
[edit]This section includes datasets that contains multi-turn text with at least two actors, a "user" and an "agent". The user makes requests for the agent, which performs the reques
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requests for the agent, which performs the request.
Cybersecurity
[edit]Climate and sustainability
[edit]Code data
[edit]Multivariate data
[edit]Financial
[edit]Weather
[edit]Census
[edit]Transit
[edit]Internet
[edit]Games
[edit]Other multivariate
[edit]Curated repositories of datasets
[edit]As datasets come in myriad formats and can sometimes be difficult to use, there has been considerable work put into curating and standardizing the format of datasets to make them easier to use for machine l
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datasets to make them easier to use for machine learning research.
- OpenML:[494] Web platform with Python, R, Java, and other APIs for downloading hundreds of machine learning datasets, evaluating algorithms on datasets, and benchmarking algorithm performance against dozens of other algorithms.
- PMLB:[495] A large, curated repository of benchmark datasets for evaluating supervised machine learning algorithms. Provides classification and regression datasets in a standardized format that are ac
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sion datasets in a standardized format that are accessible through a Python API.
- Metatext NLP: https://metatext.io/datasets web repository maintained by community, containing nearly 1000 benchmark datasets, and counting. Provides many tasks from classification to QA, and various languages from English, Portuguese to Arabic.
- Appen: Off The Shelf and Open Source Datasets hosted and maintained by the company. These biological, image, physical, question answering, signal, sound, text, and video
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uestion answering, signal, sound, text, and video resources number over 250 and can be applied to over 25 different use cases.[496][497]
See also
[edit]- Comparison of deep learning software
- List of manual image annotation tools
- List of biological databases
References
[edit]- ^ Wissner-Gross, A. "Datasets Over Algorithms". Edge.com. Retrieved 8 January 2016.
- ^ Weiss, G. M.; Provost, F. (October 2003). "Learning When Training Data are Costly: The Effect of Class Distribution on Tree Inducti
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: The Effect of Class Distribution on Tree Induction". Journal of Artificial Intelligence Research. 19: 315–354. doi:10.1613/jair.1199.
- ^ Abney, Steven (2007). Semisupervised Learning for Computational Linguistics. CRC Press. ISBN 978-1-4200-1080-0.[page needed]
- ^ Žliobaitė, Indrė; Bifet, Albert; Pfahringer, Bernhard; Holmes, Geoff (2011). "Active Learning with Evolving Streaming Data". Machine Learning and Knowledge Discovery in Databases. Lecture Notes in Computer Science. Vol. 6913. pp. 5
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ecture Notes in Computer Science. Vol. 6913. pp. 597–612. doi:10.1007/978-3-642-23808-6_39. ISBN 978-3-642-23807-9.
- ^ James Bennett; Stan Lanning (12 August 2007). "The Netflix Prize" (PDF). Proceedings of KDD Cup and Workshop 2007. Archived from the original (PDF) on 27 September 2007. Retrieved 25 August 2007.
- ^ McAuley, Julian; Targett, Christopher; Shi, Qinfeng; Anton van den Hengel (2015). "Image-based Recommendations on Styles and Substitutes". arXiv:1506.04757 [cs.CV].
- ^ "Amazon rev
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itutes". arXiv:1506.04757 [cs.CV].
- ^ "Amazon review data". nijianmo.github.io. Retrieved 8 October 2021.
- ^ Ganesan, Kavita; Zhai, Chengxiang (2012). "Opinion-based entity ranking". Information Retrieval. 15 (2): 116–150. doi:10.1007/s10791-011-9174-8. hdl:2142/15252. S2CID 16258727.
- ^ Lv, Yuanhua; Lymberopoulos, Dimitrios; Wu, Qiang (2012). "An exploration of ranking heuristics in mobile local search". Proceedings of the 35th international ACM SIGIR conference on Research and development i
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ACM SIGIR conference on Research and development in information retrieval. pp. 295–304. doi:10.1145/2348283.2348325. ISBN 978-1-4503-1472-5.
- ^ Harper, F. Maxwell; Konstan, Joseph A. (2015). "The MovieLens Datasets: History and Context". ACM Transactions on Interactive Intelligent Systems. 5 (4): 19. doi:10.1145/2827872. S2CID 16619709.
- ^ Koenigstein, Noam; Dror, Gideon; Koren, Yehuda (2011). "Yahoo! Music recommendations: Modeling music ratings with temporal dynamics and item taxonomy". Proc
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gs with temporal dynamics and item taxonomy". Proceedings of the fifth ACM conference on Recommender systems. pp. 165–172. doi:10.1145/2043932.2043964. ISBN 978-1-4503-0683-6.
- ^ McFee, Brian; Bertin-Mahieux, Thierry; Ellis, Daniel P.W.; Lanckriet, Gert R.G. (2012). "The million song dataset challenge". Proceedings of the 21st International Conference on World Wide Web. pp. 909–916. doi:10.1145/2187980.2188222. ISBN 978-1-4503-1230-1.
- ^ Bohanec, Marko, and Vladislav Rajkovic. "Knowledge acqui
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c, Marko, and Vladislav Rajkovic. "Knowledge acquisition and explanation for multi-attribute decision making." 8th Intl Workshop on Expert Systems and their Applications. 1988.
- ^ Tan, Peter J., and David L. Dowe. "MML inference of decision graphs with multi-way joins." Australian Joint Conference on Artificial Intelligence. 2002.
- ^ "Quantifying comedy on YouTube: why the number of o's in your LOL matter". Metatext NLP Database. Retrieved 26 October 2020.
- ^ Kim, Byung Joo (2012). "A Classif
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ctober 2020.
- ^ Kim, Byung Joo (2012). "A Classifier for Big Data". Convergence and Hybrid Information Technology. Communications in Computer and Information Science. Vol. 310. pp. 505–512. doi:10.1007/978-3-642-32692-9_63. ISBN 978-3-642-32691-2.
- ^ Pérezgonzález, Jose D.; Gilbey, Andrew (2011). "Predicting Skytrax airport rankings from customer reviews". Journal of Airport Management. 5 (4): 335–339. doi:10.69554/RFZC4321.
- ^ Loh, Wei-Yin, and Yu-Shan Shih. "Split selection methods for clas
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nd Yu-Shan Shih. "Split selection methods for classification trees." Statistica sinica(1997): 815–840.
- ^ Lim, Tjen-Sien; Loh, Wei-Yin; Shih, Yu-Shan (2000). "A comparison of prediction accuracy, complexity, and training time of thirty-three old and new classification algorithms". Machine Learning. 40 (3): 203–228. doi:10.1023/a:1007608224229. S2CID 17030953.
- ^ Nguyen, Kiet Van; Nguyen, Vu Duc; Nguyen, Phu X. V.; Truong, Tham T. H.; Nguyen, Ngan Luu-Thuy (2018). "UIT-VSFC: Vietnamese Students
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an Luu-Thuy (2018). "UIT-VSFC: Vietnamese Students' Feedback Corpus for Sentiment Analysis". 2018 10th International Conference on Knowledge and Systems Engineering (KSE). pp. 19–24. doi:10.1109/KSE.2018.8573337. ISBN 978-1-5386-6113-0.
- ^ Ho, Vong Anh; Nguyen, Duong Huynh-Cong; Nguyen, Danh Hoang; Pham, Linh Thi-Van; Nguyen, Duc-Vu; Nguyen, Kiet Van; Nguyen, Ngan Luu-Thuy (2020). "Emotion Recognition for Vietnamese Social Media Text". Computational Linguistics. Communications in Computer and I
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onal Linguistics. Communications in Computer and Information Science. Vol. 1215. pp. 319–333. arXiv:1911.09339. doi:10.1007/978-981-15-6168-9_27. ISBN 978-981-15-6167-2. S2CID 208202333.
- ^ Nhung Thi-Hong Nguyen, Phuong Ha-Dieu Phan, Luan Thanh Nguyen, Kiet Van Nguyen, Ngan Luu-Thuy Nguyen (24 April 2021). "Vietnamese Open-domain Complaint Detection in E-Commerce Websites". arXiv:2104.11969 [cs.CL].
{{cite arXiv}}
: CS1 maint: multiple names: authors list (link) - ^ Phu Gia Hoang, Canh Duc Luu,
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thors list (link) - ^ Phu Gia Hoang, Canh Duc Luu, Khanh Quoc Tran, Kiet Van Nguyen, Ngan Luu-Thuy Nguyen (26 January 2023). "ViHOS: Hate Speech Spans Detection for Vietnamese". arXiv:2301.10186 [cs.CL].
{{cite arXiv}}
: CS1 maint: multiple names: authors list (link) - ^ Dermouche, Mohamed; Velcin, Julien; Khouas, Leila; Loudcher, Sabine (2014). "A Joint Model for Topic-Sentiment Evolution over Time". 2014 IEEE International Conference on Data Mining. IEEE. pp. 773–778. doi:10.1109/icdm.2014.82.
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ning. IEEE. pp. 773–778. doi:10.1109/icdm.2014.82. ISBN 978-1-4799-4302-9.
- ^ Rose, Tony; Stevenson, Mark; Whitehead, Miles (2002). "The Reuters Corpus Volume 1-from Yesterday's News to Tomorrow's Language Resources". LREC. 2. S2CID 9239414.
- ^ Amini, Massih R.; Usunier, Nicolas; Goutte, Cyril (2009). "Learning from Multiple Partially Observed Views – an Application to Multilingual Text Categorization". Advances in Neural Information Processing Systems. 22: 28–36.
- ^ Liu, Ming; et al. (2015).
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Systems. 22: 28–36.
- ^ Liu, Ming; et al. (2015). "VRCA: a clustering algorithm for massive amount of texts". Proceedings of the 24th International Conference on Artificial Intelligence. AAAI Press. Archived from the original on 5 November 2021. Retrieved 6 August 2019.
- ^ Al-Harbi, S; Almuhareb, A; Al-Thubaity, A; Khorsheed, M. S.; Al-Rajeh, A (2008). "Automatic Arabic Text Classification". Proceedings of the 9th International Conference on the Statistical Analysis of Textual Data, Lyon, Fran
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e Statistical Analysis of Textual Data, Lyon, France.
- ^ "Relationship and Entity Extraction Evaluation Dataset: Dstl/re3d". GitHub. 17 December 2018.
- ^ "The Examiner – SpamClickBait Catalogue".
- ^ "A Million News Headlines".
- ^ "One Week of Global News Feeds".
- ^ Kulkarni, Rohit (2018), Reuters News-Wire Archive, Harvard Dataverse, doi:10.7910/DVN/XDB74W
- ^ "IrishTimes – the Waxy-Wany News".
- ^ "News Headlines Dataset For Sarcasm Detection". kaggle.com. Retrieved 27 April 2019.
- ^ Klim
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on". kaggle.com. Retrieved 27 April 2019.
- ^ Klimt, Bryan, and Yiming Yang. "Introducing the Enron Corpus." CEAS. 2004.
- ^ Kossinets, Gueorgi; Kleinberg, Jon; Watts, Duncan (2008). "The Structure of Information Pathways in a Social Communication Network". arXiv:0806.3201 [physics.soc-ph].
- ^ Androutsopoulos, Ion; Koutsias, John; Chandrinos, Konstantinos V.; Paliouras, George; Spyropoulos, Constantine D. (2000). "An evaluation of Naive Bayesian anti-spam filtering". In Potamias, G.; Moustakis,
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1). "Building and benchmarking an Arabic Speech Commands dataset for small-footprint keyword spotting". Engineering Applications of Artificial Intelligence. 102: 104267. doi:10.1016/j.engappai.2021.104267.
- ^ Zhou, Fang; Claire, Q.; King, Ross D. (2014). "Predicting the Geographical Origin of Music". 2014 IEEE International Conference on Data Mining. pp. 1115–1120. doi:10.1109/ICDM.2014.73. ISBN 978-1-4799-4302-9.
- ^ Saccenti, Edoardo; Camacho, José (2015). "On the use of the observation-wise
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https://en.wikipedia.org/wiki/List_of_datasets_for_machine-learning_research#69
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José (2015). "On the use of the observation-wise k-fold operation in PCA cross-validation". Journal of Chemometrics. 29 (8): 467–478. doi:10.1002/cem.2726. hdl:10481/55302. S2CID 62248957.
- ^ Bertin-Mahieux, Thierry, et al. "The million song dataset." ISMIR 2011: Proceedings of the 12th International Society for Music Information Retrieval Conference, 24–28 October 2011, Miami, Florida. University of Miami, 2011.
- ^ Henaff, Mikael; et al. (2011). "Unsupervised learning of sparse features for
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https://en.wikipedia.org/wiki/List_of_datasets_for_machine-learning_research#70
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1). "Unsupervised learning of sparse features for scalable audio classification" (PDF). ISMIR. 11.
- ^ Rafii, Zafar (2017). "Music". MUSDB18 – a corpus for music separation. doi:10.5281/zenodo.1117372.
- ^ Defferrard, Michaël; Benzi, Kirell; Vandergheynst, Pierre; Bresson, Xavier (6 December 2016). "FMA: A Dataset For Music Analysis". arXiv:1612.01840 [cs.SD].
- ^ Esposito, Roberto; Radicioni, Daniele P. (2009). "Carpediem: Optimizing the viterbi algorithm and applications to supervised sequenti
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https://en.wikipedia.org/wiki/List_of_datasets_for_machine-learning_research#71
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algorithm and applications to supervised sequential learning" (PDF). The Journal of Machine Learning Research. 10: 1851–1880.
- ^ Sourati, Jamshid; et al. (2016). "Classification Active Learning Based on Mutual Information". Entropy. 18 (2): 51. Bibcode:2016Entrp..18...51S. doi:10.3390/e18020051.
- ^ Salamon, Justin; Jacoby, Christopher; Bello, Juan Pablo. "A dataset and taxonomy for urban sound research." Proceedings of the ACM International Conference on Multimedia. ACM, 2014.
- ^ Lagrange, M
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https://en.wikipedia.org/wiki/List_of_datasets_for_machine-learning_research#72
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nference on Multimedia. ACM, 2014.
- ^ Lagrange, Mathieu; Lafay, Grégoire; Rossignol, Mathias; Benetos, Emmanouil; Roebel, Axel (2015). "An evaluation framework for event detection using a morphological model of acoustic scenes". arXiv:1502.00141 [stat.ML].
- ^ Gemmeke, Jort F., et al. "Audio Set: An ontology and human-labeled dataset for audio events." IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP). 2017.
- ^ "Watch out, birders: Artificial intelligence has l
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https://en.wikipedia.org/wiki/List_of_datasets_for_machine-learning_research#73
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"Watch out, birders: Artificial intelligence has learned to spot birds from their songs". Science | AAAS. 18 July 2018. Retrieved 22 July 2018.
- ^ "Bird Audio Detection challenge". Machine Listening Lab at Queen Mary University. 3 May 2016. Retrieved 22 July 2018.
- ^ Wichern, Gordon; Antognini, Joe; Flynn, Michael; Licheng Richard Zhu; McQuinn, Emmett; Crow, Dwight; Manilow, Ethan; Jonathan Le Roux (2019). "WHAM!: Extending Speech Separation to Noisy Environments". arXiv:1907.01160 [cs.SD].
-
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https://en.wikipedia.org/wiki/List_of_datasets_for_machine-learning_research#74
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Noisy Environments". arXiv:1907.01160 [cs.SD].
- ^ Drossos, K., Lipping, S., and Virtanen, T. "Clotho: An Audio Captioning Dataset" IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP). 2020.
- ^ Drossos, K., Lipping, S., and Virtanen, T. (2019). Clotho dataset (Version 1.0) [Data set]. Zenodo. http://doi.org/10.5281/zenodo.3490684
- ^ The CAIDA UCSD Dataset on the Witty Worm – 19–24 March 2004, http://www.caida.org/data/passive/witty_worm_dataset.xml
- ^ Chen, Zes
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https://en.wikipedia.org/wiki/List_of_datasets_for_machine-learning_research#75
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/data/passive/witty_worm_dataset.xml
- ^ Chen, Zesheng; Ji, Chuanyi (2007). "Optimal worm-scanning method using vulnerable-host distributions". International Journal of Security and Networks. 2 (1/2): 71. doi:10.1504/IJSN.2007.012826.
- ^ Kachuee, Mohamad; Kiani, Mohammad Mahdi; Mohammadzade, Hoda; Shabany, Mahdi (2015). "Cuff-less high-accuracy calibration-free blood pressure estimation using pulse transit time". 2015 IEEE International Symposium on Circuits and Systems (ISCAS). pp. 1006–1009.
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https://en.wikipedia.org/wiki/List_of_datasets_for_machine-learning_research#76
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m on Circuits and Systems (ISCAS). pp. 1006–1009. doi:10.1109/ISCAS.2015.7168806. ISBN 978-1-4799-8391-9.
- ^ Goldberger, Ary L.; Amaral, Luis A. N.; Glass, Leon; Hausdorff, Jeffrey M.; Ivanov, Plamen Ch.; Mark, Roger G.; Mietus, Joseph E.; Moody, George B.; Peng, Chung-Kang; Stanley, H. Eugene (13 June 2000). "PhysioBank, PhysioToolkit, and PhysioNet: Components of a New Research Resource for Complex Physiologic Signals". Circulation. 101 (23): E215-20. doi:10.1161/01.CIR.101.23.e215. PMID 1085
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https://en.wikipedia.org/wiki/List_of_datasets_for_machine-learning_research#77
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E215-20. doi:10.1161/01.CIR.101.23.e215. PMID 10851218.
- ^ Vergara, Alexander; et al. (2012). "Chemical gas sensor drift compensation using classifier ensembles". Sensors and Actuators B: Chemical. 166: 320–329. Bibcode:2012SeAcB.166..320V. doi:10.1016/j.snb.2012.01.074.
- ^ Korotcenkov, G.; Cho, B. K. (2014). "Engineering approaches to improvement of conductometric gas sensor parameters. Part 2: Decrease of dissipated (consumable) power and improvement stability and reliability". Sensors and A
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https://en.wikipedia.org/wiki/List_of_datasets_for_machine-learning_research#78
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rovement stability and reliability". Sensors and Actuators B: Chemical. 198: 316–341. Bibcode:2014SeAcB.198..316K. doi:10.1016/j.snb.2014.03.069.
- ^ Quinlan, John R (1992). "Learning with continuous classes" (PDF). 5th Australian Joint Conference on Artificial Intelligence. 92.
- ^ Merz, Christopher J.; Pazzani, Michael J. (1999). "A principal components approach to combining regression estimates". Machine Learning. 36 (1–2): 9–32. doi:10.1023/a:1007507221352.
- ^ Torres-Sospedra, Joaquin, et a
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