"Learning with Partially Labeled and Interdependent Data"

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Book	Author(s)	Year	Publisher
Learning with Partially Labeled and Interdependent Data	Massih-Reza Amini; Nicolas Usunier	2015	Springer International Publishing
On visibility determination in surfaces with partially ordered data	Sue-Chen Wang	1989
Optimization, Learning, and Control for Interdependent Complex Networks	M. Hadi Amini	1st ed. 2020	Springer International Publishing
Quantitation and Mass Spectrometric Data of Drugs and Isotopically Labeled Analogs	Ray H. Liu; Dennis V. Canfield; Sheng-Meng Wang	2009	Routledge
Deep Learning with Structured Data	Mark Ryan	2020	Manning Publications
Learning Data Mining with Python	Robert Layton	2017	Packt
Metric Methods for Analyzing Partially Ranked Data	Douglas E. Critchlow	1985	Springer New York
Modeling Dyadic and Interdependent Data in the Developmental and Behavioral Sciences	Noel A. Card; James P. Selig; Todd Little	2008	Routledge
Dancing With Data to Improve Learning	Dave Sever	December 28, 2004	ScarecrowEducation
Learning from Chinese Philosophies: Ethics of Interdependent and Contextualised Self	Karyn Lai	2006	Routledge
Machine Learning and Big Data with kdb+/q	Jan Novotny	2019	John Wiley & Sons
Preparation of Compounds Labeled with Tritium and Carbon-14	Rolf Voges Ph.D.,	2009	John Wiley & Sons
Emergence: labeled autistic	Temple Grandin	1996	Warner Books
Labeled for death	Michele Drier	2013	[publisher not identified]
Learning in a partially hard-wired recurrent network	C. -M Kuan	1991	College of Commerce and Business Administration, University of Illinois at Urbana-Champaign
Data mining with R: learning with case studies /	Torgo, Luís.	©2011.	Chapman & Hall/CRC,
Data mining with R: learning with case studies	Luís Torgo	2011	Chapman & Hall/CRC
Adaptation and validation of a computer ranking for partially ordered data	Richard Woodie Mister	1971	Naval Postgraduate School
Interdependent Development	Harold Brookfield	1975	Routledge
Interdependent development	H. C. Brookfield
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Showing 1 to 20 of 100 entries

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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Learning with Interdependent Data	Massih-Reza Amini; Nicolas Usunier	Learning with Partially Labeled and Interdependent Data	Massih-Reza Amini; Nicolas Usunier	2015	Springer International Publishing
Information Integration of Partially Labeled Data	Steffen Rendle; Lars Schmidt-Thieme	Data Analysis, Machine Learning and Applications: Proceedings of the 31st Annual Conference of the Gesellschaft für Klassifikation e. V. , Albert-Ludwigs-Universität Freiburg, March 7-9, 2007	Christine Preisach; Hans Burkhardt; Lars Schmidt-Thieme; Reinhold Decker	2008	Springer Berlin Heidelberg
Transductive Learning: Learning Iris Data with Two Labeled Data	Chun Hung Li; Pong Chi Yuen	Artificial Neural Networks - ICANN 2001: International Conference Vienna, Austria, August 21-25, 2001 Proceedings	Georg Dorffner; Horst Bischof; Kurt Hornik	2001	Springer Berlin Heidelberg
Learning from Labeled Data		Encyclopedia of the Sciences of Learning	Norbert M. Seel	2012	Springer US
Learning Classification with Both Labeled and Unlabeled Data	Jean-Noël Vittaut; Massih-Reza Amini; Patrick Gallinari	Machine Learning: ECML 2002: 13th European Conference on Machine Learning, Helsinki, Finland, August 19-23, 2002. Proceedings	Tapio Elomaa; Heikki Mannila; Hannu Toivonen	2002	Springer Berlin Heidelberg
Text Classification from Partially Labeled Distributed Data	Catarina Silva; Bemardete Ribeiro	Adaptive and Natural Computing Algorithms: Proceedings of the International Conference in Coimbra, Portugal, 2005	Bernardete Ribeiro; Rudolf F. Albrecht; Andrej Dobnikar; David W. Pearson; Nigel C. Steele	2005	Springer Vienna
A Boosting Approach for Learning to Rank Using SVD with Partially Labeled Data	Yuan Lin; Hongfei Lin; Zhihao Yang; Sui Su	Information Retrieval Technology: 5th Asia Information Retrieval Symposium, AIRS 2009, Sapporo, Japan, October 21-23, 2009, Proceedings	Gary Geunbae Lee; Dawei Song; Chin-Yew Lin; Akiko Aizawa; Kazuko Kuriyama; Masaharu Yoshioka; Tetsuya Sakai	2009	Springer Berlin Heidelberg
Learning from Labeled and Unlabeled Data		Encyclopedia of Machine Learning and Data Mining	Claude Sammut; Geoffrey I. Webb	2nd ed. 2017	Springer US
Learning from Labeled and Unlabeled Data		Encyclopedia of Machine Learning	Claude Sammut; Geoffrey I. Webb	2010	Springer US
Learning from Labeled and Unlabeled Data		Encyclopedia of Machine Learning	Claude Sammut; Geoffrey I. Webb	2010	Springer US
Learning from Both Labeled and Unlabeled Data		Introduction to semi-supervised learning	Zhu X., Goldberg A.B	2009	Morgan
Labeled Data		Encyclopedia of Machine Learning and Data Mining	Claude Sammut; Geoffrey I. Webb	2nd ed. 2017	Springer US
Labeled Data		Encyclopedia of Machine Learning	Claude Sammut; Geoffrey I. Webb	2010	Springer US
Labeled Data		Python Deep Learning	Valentino Zocca; Gianmario Spacagna; Daniel Slater; Peter Roelants	2017	Packt Publishing - ebooks Account
Students Labeled with Learning Disabilities		Literacy and Learning	Thomas E. Scruggs, Thomas E. Scruggs, Margo A. Mastropieri	2010	Emerald Group Publishing Limited
Learning with Fewer Labeled Examples		Probabilistic Machine Learning: An Introduction (Adaptive Computation and Machine Learning series)	Kevin P. Murphy	2022	The MIT Press
Use a Partially Labeled Dataset		Amazon SageMaker Developer Guide	coll	2021	Amazon Web Services
Learning SVMs from Sloppily Labeled Data	Guillaume Stempfel; Liva Ralaivola	Artificial Neural Networks – ICANN 2009: 19th International Conference, Limassol, Cyprus, September 14-17, 2009, Proceedings, Part I	Cesare Alippi; Marios M. Polycarpou; Christos Panayiotou; Georgios Ellinas	2009	Springer Berlin Heidelberg
Learning from Partially Labeled Sequences for Behavioral Signal Annotation	Anna Aniszewska-Stępień; Romain Hérault; Guillaume Hacques; Ludovic Seifert; Gilles Gasso	Machine Learning and Data Mining for Sports Analytics: 7th International Workshop, MLSA 2020, Co-located with ECML/PKDD 2020, Ghent, Belgium, September 14–18, 2020, Proceedings	Ulf Brefeld; Jesse Davis; Jan Van Haaren; Albrecht Zimmermann	1st ed. 2020	Springer International Publishing
Working With No Labeled Data		Natural Language Processing with Transformers	Lewis Tunstall, Leandro von Werra, Thomas Wolf	2021	O'Reilly Media, Inc.
Chapter	Author(s)	Book	Book Authors	Year	Publisher

Showing 1 to 20 of 100 entries

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