"Manifold Learning-based Data Sampling for Model Training"

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Book	Author(s)	Year	Publisher
An Introduction to Model-Based Survey Sampling with Applications	Ray Chambers; Robert Clark	2012	Oxford University Press
Utility-Based Learning from Data	Craig Friedman; Sven Sandow	2010	Routledge
Discrete-Time Adaptive Iterative Learning Control: From Model-Based to Data-Driven	Ronghu Chi; Na Lin; Huimin Zhang; Ruikun Zhang	1st ed. 2022	Springer Singapore
Sampling approaches for nutrient data bases	S. M. Nusser	2003	Beltsville Human Nutrition Research Center, Agricultural Research Service, U.S. Dept. of Agriculture
Model Based Learning and Instruction in Science	John Clement; Mary Anne Rea-Ramirez	2008	Springer Netherlands
Web-based training: creating e-learning experiences	Margaret Driscoll	2002	Jossey-Bass/Pfeiffer
Data-Driven and Model-Based Methods for Fault Detection and Diagnosis	Hazem Nounou; Majdi Mansouri; Mohamed Nounou andMohamed-Faouzi Harkat	2020	Elsevier
Manifold Learning Theory and Applications	Yunqian Ma; Yun Fu	2011	Routledge
Rule Based Systems for Big Data: A Machine Learning Approach	Han Liu; Alexander Gegov; Mihaela Cocea	1st ed. 2015	Springer International Publishing
Methods of Training: Resource Based and Open Learning Learning Skills	Bob Wilson	November 1987	Parthenon Pub Group
A Machine Learning Based Model of Boko Haram	V. S. Subrahmanian; Chiara Pulice; James F. Brown; Jacob Bonen-Clark	1st ed. 2021	Springer International Publishing
Learning and Performance: A Systemic Model for Analysing Needs and Evaluating Training	Bryan Hopkins	2016	Routledge
Model-Based Clustering and Classification for Data Science: With Applications in R	Charles Bouveyron; Gilles Celeux; T. Brendan Murphy; Adrian E. Raftery	2019-07	Cambridge University Press
Model-Checking Based Data Retrieval: An Application to Semistructured and Temporal Data	Elisa Quintarelli	2004	Springer Berlin Heidelberg
Adaptive sampling frequency for sampled-data control systems	Merritt C. Farren	1960	Naval Postgraduate School
Heart rate training: customize your training based on individual data and goals	Roy Benson; Declan Connolly	2020	Human Kinetics Publishers
A Discipline-Based Teaching and Learning Center: A Model for Professional Development	Gili Marbach-Ad; Laura C. Egan; Katerina V. Thompson	2015	Springer International Publishing
A systems model for apprenticeship training	Thomas William Broad	1972
Stratified sampling using a Stochastic model	Donald M. Roberts	1983	College of Commerce and Business Administration, University of Illinois at Urbana-Champaign
Compressive Imaging: Structure, Sampling, Learning	Ben Adcock; Anders C. Hansen	2021-09	Cambridge University Press
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Manifold Learning-based Data Sampling for Model Training	Shuqing Chen; Sabrina Dorn; Michael Lell; Marc Kachelrieß; Andreas Maier	Bildverarbeitung für die Medizin 2018: Algorithmen - Systeme - Anwendungen. Proceedings des Workshops vom 11. bis 13. März 2018 in Erlangen	Andreas Maier; Thomas M. Deserno; Heinz Handels; Klaus Hermann Maier-Hein; Christoph Palm; Thomas Tolxdorff	1. Aufl. 2018	Springer Berlin Heidelberg
Adaptive Sampling for Nonlinear Dimensionality Reduction Based on Manifold Learning	Thomas Franz; Ralf Zimmermann; Stefan Görtz	Model Reduction of Parametrized Systems	Peter Benner; Mario Ohlberger; Anthony Patera; Gianluigi Rozza; Karsten Urban	1st ed. 2017	Springer International Publishing
Nonlinear manifold learning for data stream	Martin H. C. Law, Nan Zhang and Anil K. Jain	Proceedings of the Fourth SIAM International Conference on Data Mining /	Berry, Michael W.	[2004], ©2004.	Society for Industrial and Applied Mathematics,
Sampling Statistics & Model Training		Introduction to Machine Learning with R: Rigorous Mathematical Analysis	Scott V. Burger	2018	O'Reilly UK Ltd.
Sampling Statistics & Model Training		Introduction to Machine Learning with R. Rigorous Mathematical Analysis	Scott V. Burger	2018	O’Reilly
Sampling the training data		Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits: A practical guide to implementing supervised and unsupervised machine learning algorithms in Python	Tarek Amr	2020	Packt Publishing Ltd
Selecting Training Data for Learning-Based Twitter Search	Dongxing Li; Ben He; Tiejian Luo; Xin Zhang	Advances in Information Retrieval: 37th European Conference on IR Research, ECIR 2015, Vienna, Austria, March 29 - April 2, 2015. Proceedings	Allan Hanbury; Gabriella Kazai; Andreas Rauber; Norbert Fuhr	2015	Springer International Publishing
Nonlinear Data Mining Method Based on Manifold Learning	Lurui Xia; Jilian Li; Xiaoping Du; Gangtao Hao	Unifying Electrical Engineering and Electronics Engineering: Proceedings of the 2012 International Conference on Electrical and Electronics Engineering	Song Xing; Suting Chen; Zhanming Wei; Jingming Xia	2014	Springer New York
Manifold-Learning-Based Feature Extraction	Haitao Zhao; Zhihui Lai; Henry Leung; Xianyi Zhang	Feature Learning and Understanding: Algorithms and Applications	Haitao Zhao; Zhihui Lai; Henry Leung; Xianyi Zhang	1st ed. 2020	Springer International Publishing
20 Data-based sampling and model-based estimation for environmental resources	G.P. Patil; G.J. Babu; R.C. Hennemuth; W.L. Myers; M.B. Rajarshi; C. Taillie	Sampling	P.R. Krishnaiah and C.R. Rao	1988	Elsevier
Sampling from Determinantal Point Processes for Scalable Manifold Learning	Christian Wachinger; Polina Golland	Information Processing in Medical Imaging: 24th International Conference, IPMI 2015, Sabhal Mor Ostaig, Isle of Skye, UK, June 28 - July 3, 2015, Proceedings	Sebastien Ourselin; Daniel C. Alexander; Carl-Fredrik Westin; M. Jorge Cardoso	2015	Springer International Publishing
Manifold Based Data Refinement for Biological Analysis	Dao Nam Anh	Soft Computing for Biomedical Applications and Related Topics	Vladik Kreinovich; Nguyen Hoang Phuong	1st ed. 2021	Springer International Publishing
Committee-Based Sampling For Training Probabilistic Classifiers	Ido Dagan; Sean P. Engelson	Machine Learning Proceedings 1995	Armand Prieditis and Stuart J. Russell	1995	Morgan Kaufmann
Chinese Web Text Classification Model Based on Manifold Learning	Shengli Shi; Zhibin Fu; Jinzhao Li	Information Computing and Applications: Third International Conference, ICICA 2012, Chengde, China, September 14-16, 2012. Proceedings, Part I	Chunfeng Liu; Leizhen Wang; Aimin Yang	2012	Springer Berlin Heidelberg
Sampling Training Data for Continual Learning Between Robots and the Cloud	Sandeep Chinchali; Evgenya Pergament; Manabu Nakanoya; Eyal Cidon; Edward Zhang; Dinesh Bharadia et al.	Experimental Robotics: The 17th International Symposium	Bruno Siciliano; Cecilia Laschi; Oussama Khatib	1st ed. 2021	Springer International Publishing
Manifold Learning	Philippos Mordohai; Gerard Medioni	Encyclopedia of Biometrics	Stan Z. Li; Anil K. Jain	2nd ed. 2015	Springer US
Manifold Learning	Nanning Zheng; Jianru Xue	Statistical Learning and Pattern Analysis for Image and Video Processing	Nanning Zheng; Jianru Xue	2009	Springer London
Manifold Learning	Philippos Mordohai; Gérard Medioni	Encyclopedia of Biometrics	Stan Z. Li	2009	Springer US
Manifold Learning	Pavan Turaga; Rushil Anirudh; Rama Chellappa	Computer Vision: A Reference Guide	Katsushi Ikeuchi	2nd ed. 2021	Springer International Publishing
Manifold learning		Mastering machine learning algorithms: expert techniques for implementing popular machine learning algorithms, fine-tuning your models, and understanding how they work	Giuseppe Bonaccorso	2020	Packt Publishing Ltd
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