"A Minimal Learning Machine for Datasets with Missing Values"

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Book	Author(s)	Year	Publisher
Compression Schemes for Mining Large Datasets: A Machine Learning Perspective	T. Ravindra Babu; M. Narasimha Murty; S.V. Subrahmanya	2013	Springer London
Missing Data Problems in Machine Learning	Benjamin M. Marlin
Machine Learning With Python For Everyone	Mark E. Fenner	2020	Addison-Wesley Professional/Pearson education
Machine Translation with Minimal Reliance on Parallel Resources	George Tambouratzis; Marina Vassiliou; Sokratis Sofianopoulos	1st ed. 2017	Springer International Publishing
Optimization and Machine Learning - Optimizationfor Machine Learning and Machine Learning for Optimization	Rachid Chelouah; Patrick Siarry	2022	John Wiley & Sons
The alignment problem: machine learning and human values /	Christian, Brian,		W. W. Norton & Company
Machine Learning with R	Abhijit Ghatak	1st ed. 2017	Springer Nature Singapore
Machine Learning with TensorFlow	Chris A. Mattmann	2021	Manning Publications
Machine Learning with AWS	Jeffrey Jackovich, Ruze Richards	2018	Packt Publishing
Beginning Apache Spark 2: With Resilient Distributed Datasets, Spark SQL, Structured Streaming and Spark Machine Learning library	Hien Luu	1st ed.	Apress
Machine Learning with Health Care Perspective: Machine Learning and Healthcare	Vishal Jain; Jyotir Moy Chatterjee	1st ed. 2020	Springer International Publishing
Machine Learning for Streaming Data with Python: Rapidly build practical online machine learning solutions	Joos Korstanje	2022	Packt
Machine Learning for Text	Charu C. Aggarwal	1st ed. 2018	Springer International Publishing
Machine Learning for Text	Charu C. Aggarwal	2nd ed. 2022	Springer International Publishing
Machine Learning for Biometrics	Banshidhar Majhi; Bhabani Mishra; Madhumita Panda; Partha Sarangi andSubhashree Mishra	2022	Academic Press
Machine learning for hackers	Drew Conway	2012	O'Reilly Media
Mathematics for Machine Learning	Marc Peter Deisenroth; A. Aldo Faisal; Cheng Soon Ong	2020	Cambridge University Press
Optimization for Machine Learning	Suvrit Sra; Sebastian Nowozin; Stephen J. Wright	2011	MIT Press,
Machine Learning for Finance	Jannes Klaas	2019	Packt Publishing
Mathematics for Machine Learning	Marc Peter Deisenroth; A Aldo Faisal; Cheng Soon Ong	2020	Cambridge University Press
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
A Minimal Learning Machine for Datasets with Missing Values	Diego P. Paiva Mesquita; João Paulo P. Gomes; Amauri H. Souza Jr.	Neural Information Processing: 22nd International Conference, ICONIP 2015, Istanbul, Turkey, November 9-12, 2015, Proceedings, Part I	Sabri Arik; Tingwen Huang; Weng Kin Lai; Qingshan Liu	1st ed. 2015	Springer International Publishing
Regression Imputation for Space-Time Datasets with Missing Values	Antonella Plaia; Anna Lisa Bondì	Data Analysis and Classification: Proceedings of the 6th Conference of the Classification and Data Analysis Group of the Società Italiana di Statistica	Francesco Palumbo; Carlo Natale Lauro; Michael Greenacre	2010	Springer Berlin Heidelberg
Machine Learning-Based Missing Value Imputation Method for Clinical Datasets	M. Mostafizur Rahman; D. N. Davis	IAENG Transactions on Engineering Technologies: Special Volume of the World Congress on Engineering 2012	Gi-Chul Yang; Sio-long Ao; Len Gelman	2013	Springer Netherlands
Predicting Huntington’s Disease: Extreme Learning Machine with Missing Values	Emil Eirola; Anton Akusok; Kaj-Mikael Björk; Hans Johnson; Amaury Lendasse	Proceedings of ELM-2016	Jiuwen Cao; Erik Cambria; Amaury Lendasse; Yoan Miche; Chi Man Vong	1st ed. 2018	Springer International Publishing
Standard Machine Learning Datasets		Machine Learning Mastery With R: How to Prepare Data and Develop Models to Predict the Future	Jason Brownlee	2016	Independently Published
Popular machine learning datasets		Hands-On Ensemble Learning with Python	George Kyriakides; Konstantinos G Margaritis	2019	Packt Publishing, Limited
V: Machine Learning for Large Datasets		Data Just Right: Introduction to Large-Scale Data & Analytics	Michael Manoochehri	0	Addison-Wesley
Radial Basis Function Neural Networks for Datasets with Missing Values	Diego P. Paiva Mesquita; João Paulo P. Gomes	Intelligent Systems Design and Applications: 16th International Conference on Intelligent Systems Design and Applications (ISDA 2016) held in Porto, Portugal, December 16-18, 2016	Ana Maria Madureira; Ajith Abraham; Dorabela Gamboa; Paulo Novais	1st ed. 2017	Springer International Publishing
Machine learning â€“ tools and datasets		Mastering Java Machine Learning	Kamath, Dr Uday	2017	Packt Publishing
Newton Method for Minimal Learning Machine	Joonas Hämäläinen; Tommi Kärkkäinen	Computational Sciences and Artificial Intelligence in Industry: New Digital Technologies for Solving Future Societal and Economical Challenges	Tero Tuovinen; Jacques Periaux; Pekka Neittaanmäki	1st ed. 2022	Springer International Publishing
Missing Data Imputation for Machine Learning	Shaoqian Wang; Bo Li; Mao Yang; Zhongjiang Yan	IoT as a Service: 4th EAI International Conference, IoTaaS 2018, Xi’an, China, November 17–18, 2018, Proceedings	Bo Li; Mao Yang; Hui Yuan; Zhongjiang Yan	1st ed. 2019	Springer International Publishing
Load Your Machine Learning Datasets		Machine Learning Mastery With R: How to Prepare Data and Develop Models to Predict the Future	Jason Brownlee	2016	Independently Published
Datasets used in machine learning		Mastering Java Machine Learning	Kamath, Dr Uday	2017	Packt Publishing
Dealing with #N/A for Missing Values		Excel for Marketing Managers	Ivana Taylor, Bill Jelen	2006	Holy Macro! Books
Dealing with #N/A for Missing Values		Excel for Auditors: Audit Spreadsheets Using Excel 97 through Excel 2007	Bill Jelen, Dwayne K. Dowell	2006	Holy Macro! Books
How To Handle Missing Values In Machine Learning Data		Machine Learning Mastery With Weka: Analyze Data, Develop Models and Work Through Projects	Jason Brownlee	2016	Independently Published
Optimally Selected Minimal Learning Machine	Átilla N. Maia; Madson L. D. Dias; João P. P. Gomes; Ajalmar R. da Rocha Neto	Intelligent Data Engineering and Automated Learning – IDEAL 2018: 19th International Conference, Madrid, Spain, November 21–23, 2018, Proceedings, Part I	Hujun Yin; David Camacho; Paulo Novais; Antonio J. Tallón-Ballesteros	1st ed. 2018	Springer International Publishing
Shapley Values for Machine Learning Model		Matlab. Statistics and Machine Learning Toolbox. User's Guide		2021	MathWorks
A Cost Sensitive Minimal Learning Machine for Pattern Classification	João Paulo P. Gomes; Amauri H. Souza Jr.; Francesco Corona; Ajalmar R. Rocha Neto	Neural Information Processing: 22nd International Conference, ICONIP 2015, Istanbul, Turkey, November 9-12, 2015, Proceedings, Part I	Sabri Arik; Tingwen Huang; Weng Kin Lai; Qingshan Liu	1st ed. 2015	Springer International Publishing
A Machine Learning Approach for Minimal Coordinate Multibody Simulation	Andrea Angeli; Frank Naets; Wim Desmet	Multibody Dynamics 2019: Proceedings of the 9th ECCOMAS Thematic Conference on Multibody Dynamics	Andrés Kecskeméthy; Francisco Geu Flores	1st ed. 2020	Springer International Publishing
Chapter	Author(s)	Book	Book Authors	Year	Publisher

Showing 1 to 20 of 100 entries

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