"Towards Conceptual Models for Machine Learning Computations"

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Book	Author(s)	Year	Publisher
Graphical Models for Machine Learning and Digital Communication	Brendan J. Frey	1998	MIT Press
Graphical Models for Machine Learning and Digital Communication	Brendan J. Frey	1998	MIT Press,
Computational Trust Models and Machine Learning	Xin Liu; Anwitaman Datta; Ee-Peng Lim	2014	Routledge
Practical MLOps: Operationalizing Machine Learning Models	Noah Gift, Alfredo Deza	2021	O'Reilly Media
Machine Learning and Optimization Models for Optimization in Cloud	Punit Gupta; Mayank Kumar Goyal; Sudeshna Chakraborty; Ahmed A Elngar	2022	Routledge
Machine learning methods for commonsense reasoning processes: interactive models	Xenia Naidenova	2010	Information Science Reference
Conceptual models for nursing practice	Joan Riehl-Sisca, Callista Roy, Rheba De Tornyay	1974	Appleton-Century-Crofts
Conceptual models for nursing practice	Joan Riehl-Sisca	1980	Appleton-Century-Crofts;Prentice-Hall
Conceptual models for nursing practice	Joan Riehl-Sisca	1989	Appleton & Lange
Hyperparameter Optimization in Machine Learning: Make Your Machine Learning and Deep Learning Models More Efficient	Tanay Agrawal	1st ed.	Apress
Models for mental disorder: conceptual models in psychiatry	Peter Tyrer, Derek Steinberg	2005	John Wiley & Sons
Models for mental disorder: conceptual models in psychiatry	Peter J. Tyrer	2014	John Wiley & Sons
Models for mental disorder: conceptual models in psychiatry	Peter J. Tyrer	1998	John Wiley
Models for mental disorder: conceptual models in psychiatry	Peter J. Tyrer	1993	J. Wiley
Machine Learning and Probabilistic Graphical Models for Decision Support Systems	Kim Phuc Tran	2022	CRC Press
Optimization and Machine Learning - Optimizationfor Machine Learning and Machine Learning for Optimization	Rachid Chelouah; Patrick Siarry	2022	John Wiley & Sons
Conceptual planning for creative learning	Bruce M. Mitchell	1976	Kendall/Hunt Pub. Co.
Machine Learning Models and Algorithms for Big Data Classification: Thinking with Examples for Effective Learning	Shan Suthaharan	1st ed. 2016	Springer US
Combinatorial models for computations with formal power series	Andrew R. Maynard	2000
Internet of Energy for Smart Cities: Machine Learning Models and Techniques	Anish Jindal; Neeraj Kumar; Gagangeet Singh Aujla	2021	Routledge
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Towards Conceptual Models for Machine Learning Computations	Ernesto Damiani; Fulvio Frati	Conceptual Modeling: 37th International Conference, ER 2018, Xi' an, China, October 22–25, 2018, Proceedings	Juan C. Trujillo; Karen C. Davis; Xiaoyong Du; Zhanhuai Li; Tok Wang Ling; Guoliang Li; Mong Li Lee	1st ed. 2018	Springer International Publishing
From Mental Models to Machine Learning Models via Conceptual Models	Wolfgang Maass; Veda C. Storey; Roman Lukyanenko	Enterprise, Business-Process and Information Systems Modeling: 22nd International Conference, BPMDS 2021, and 26th International Conference, EMMSAD 2021, Held at CAiSE 2021, Melbourne, VIC, Australia, June 28–29, 2021, Proceedings	Adriano Augusto; Asif Gill; Selmin Nurcan; Iris Reinhartz-Berger; Rainer Schmidt; Jelena Zdravkovic	1st ed. 2021	Springer International Publishing
Machine Learning Models		Internet of Energy for Smart Cities: Machine Learning Models and Techniques	Anish Jindal; Neeraj Kumar; Gagangeet Singh Aujla	2021	Routledge
Machine learning models		Machine Learning Theory to Applications: Theory to Applications	Seyedeh Leili Mirtaheri, Reza Shahbazian	2022	CRC Press
Machine learning models		IoT and Edge Computing for Architects: Implementing edge and IoT systems from sensors to clouds with communication systems, analytics, and security, 2nd Edition	Perry Lea	2020	Packt Publishing
Machine Learning Models	Guanghui Lan	First-order and Stochastic Optimization Methods for Machine Learning	Guanghui Lan	1st ed. 2020	Springer International Publishing
Machine Learning Models	Jacques Savoy	Machine Learning Methods for Stylometry: Authorship Attribution and Author Profiling	Jacques Savoy	1st ed. 2020	Springer International Publishing
Machine Learning for Analytics Models	Subrata Das	Computational Business Analytics	Subrata Das	2013	Routledge
Bilinear Models for Machine Learning	Tayssir Doghri; Leszek Szczecinski; Jacob Benesty; Amar Mitiche	Artificial Neural Networks and Machine Learning – ICANN 2020: 29th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 15–18, 2020, Proceedings, Part I	Igor Farkaš; Paolo Masulli; Stefan Wermter	1st ed. 2020	Springer International Publishing
Superimposition: Augmenting Machine Learning Outputs with Conceptual Models for Explainable AI	Roman Lukyanenko; Arturo Castellanos; Veda C. Storey; Alfred Castillo; Monica Chiarini Tremblay; Jeffrey Parsons	Advances in Conceptual Modeling: ER 2020 Workshops CMAI, CMLS, CMOMM4FAIR, CoMoNoS, EmpER, Vienna, Austria, November 3–6, 2020, Proceedings	Georg Grossmann; Sudha Ram	1st ed. 2020	Springer International Publishing
Machine Learning Models for Smart Cities	Dristi Datta; Nurul I Sarkar	Internet of Energy for Smart Cities: Machine Learning Models and Techniques	Anish Jindal; Neeraj Kumar; Gagangeet Singh Aujla	2021	Routledge
Constructing Machine Learning Models for Prediction	Richard Hill; Stuart Berry	Guide to Industrial Analytics: Solving Data Science Problems for Manufacturing and the Internet of Things	Richard Hill; Stuart Berry	1st ed. 2021	Springer International Publishing
Preprocessing Data for Machine Learning Models		Data Science for Marketing Analytics: A practical guide to forming a killer marketing strategy through data analysis with Python, 2nd Edition	Mirza Rahim Baig, Gururajan Govindan, Vishwesh Ravi Shrimali	2021	Packt Publishing
Different Machine Learning Models	Neeraj Kumar; Aaisha Makkar	Machine Learning in Cognitive IoT	Neeraj Kumar; Aaisha Makkar	2020	Routledge
Anonymizing Machine Learning Models	Abigail Goldsteen; Gilad Ezov; Ron Shmelkin; Micha Moffie; Ariel Farkash	Data Privacy Management, Cryptocurrencies and Blockchain Technology: ESORICS 2021 International Workshops, DPM 2021 and CBT 2021, Darmstadt, Germany, October 8, 2021, Revised Selected Papers	Joaquin Garcia-Alfaro; Jose Luis Muñoz-Tapia; Guillermo Navarro-Arribas; Miguel Soriano	1st ed. 2022	Springer International Publishing
3 - Machine Learning Models		Machine Learning for Speaker Recognition	Man-Wai Mak; Jen-Tzung Chien	2020-11	Cambridge University Press
Managing machine learning models		Distributed Data Systems with Azure Databricks: Create, deploy, and manage enterprise data pipelines	Alan Bernardo Palacio	2021	Packt Publishing
Interpret Machine Learning Models		Matlab. Statistics and Machine Learning Toolbox. User's Guide		2021	MathWorks
Testing Machine Learning Models		Building Machine Learning Pipelines: Automating Model Life Cycles with TensorFlow	Hannes Hapke, Catherine Nelson	2020	O'Reilly Media
Machine learning-based models		Hands-On Simulation Modeling with Python: Develop simulation models to get accurate results and enhance decision-making processes	Giuseppe Ciaburro	2020	Packt Publishing
Chapter	Author(s)	Book	Book Authors	Year	Publisher

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