"A Machine Learning Approach to Automatic Production of Compiler Heuristics"

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Book	Author(s)	Year	Publisher
A practical approach to automatic production	J. W. Abrams	1965	Economic Council of Canada
GEO I: a compiler approach to machine problem solving	Ronald Glenn Osborne	1971	Naval Postgraduate School
Empirical Approach to Machine Learning	Plamen P. Angelov; Xiaowei Gu	1st ed. 2019	Springer International Publishing
Automatic Tuning of Compilers Using Machine Learning	Amir H. Ashouri; Gianluca Palermo; John Cavazos; Cristina Silvano	1st ed. 2018	Springer International Publishing
Automatic Speech Recognition: A Deep Learning Approach	Dong Yu; Li Deng	2015	Springer London
A Practical Approach to Compiler Construction	Des Watson	1st ed. 2017	Springer International Publishing
Automation in production engineering: a practical guide to automatic production and gauging in machine shops.	J. A. Oates	1958	G. Newnes
Kinesthetic Perception: A Machine Learning Approach	Subhasis Chaudhuri; Amit Bhardwaj	1st ed. 2018	Springer Nature Singapore
Intrusion detection: a machine learning approach	Zhenwei Yu	2011	Imperial College Press;Distributed by World Scientific
Biometric authentication: a machine learning approach /	Kung, S. Y.; Mak, M. W.; Lin, Shang-Hung,	[2005], ©2005.	Prentice Hall Professional Technical Reference,
Keras to Kubernetes - The Journey Of A Machine Learning Model To Production	Dattaraj Jagdish Rao	2019	John Wiley & Sons
Kubeflow for Machine Learning: From Lab to Production	Trevor Grant, Holden Karau, Boris Lublinsky, Richard Liu, Ilan Filonenko	2020	O'Reilly Media
A Machine-Learning Approach to Phishing Detection and Defense	I.S. Amiri; O.A. Akanbi and E. Fazeldehkordi	2015	Syngress
Automatic discovery of heuristics for non-deterministic programs.	Salvatore J. Stolfo	1979	Courant Institute of Mathematical Sciences, New York University
Bioinformatics: the machine learning approach /	Baldi, Pierre.; Brunak, Søren.	©1998.	MIT Press,
Bioinformatics: the machine learning approach /	Baldi, Pierre.; Brunak, Søren.	[1998], ©1998.	MIT Press,
Bioinformatics: the machine learning approach /	Baldi, Pierre.; Brunak, Søren.	[2001], ©2001.	MIT Press,
Bioinformatics: the machine learning approach	Pierre Baldi	1998	MIT Press
Machine Learning: An Artificial Intelligence Approach, Volume II (Machine Learning)	Ryszard S. Michalski; Jaime G. Carbonell; Tom M. Mitchell	January 1, 1986	Morgan Kaufmann
Facial Kinship Verification: A Machine Learning Approach	Haibin Yan; Jiwen Lu	1st ed. 2017	Springer Nature Singapore
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
A Machine Learning Approach to Automatic Production of Compiler Heuristics	Antoine Monsifrot; François Bodin; René Quiniou	Artificial Intelligence: Methodology, Systems, and Applications: 10th International Conference, AIMSA 2002, Varna, Bulgaria, September 4-6, 2002. Proceedings	Doris R. Scott	2002	Springer Berlin Heidelberg
A Practical approach to automatic production	D.J. Clough; J.W. Abrams; R.W.P. Anderson	Conference on productivity: papers.	Conference on Productivity through New Technology (1965 Ryerson Polytechnical Institute)	1965	Queen's Printer
Automatic Text Summarization Using a Machine Learning Approach	Joel Larocca Neto; Alex A. Freitas; Celso A. A. Kaestner	Advances in Artificial Intelligence: 16th Brazilian Symposium on Artificial Intelligence, SBIA 2002, Porto de Galinhas/Recife, Brazil, November 11-14, 2002, Proceedings	Guilherme Bittencourt; Geber L. Ramalho	2002	Springer Berlin Heidelberg
Automatic Program Description: A Compiler Based Approach	M. Panti	Impirical Foundations of Information and Software Science	Jagdish C. Agrawal	1985	Springer US
A Machine Learning Approach to Automatic Phobia Therapy with Virtual Reality	Oana Bălan; Alin Moldoveanu; Marius Leordeanu	Modern Approaches to Augmentation of Brain Function	Ioan Opris; Mikhail A. Lebedev; Manuel F. Casanova	1st ed. 2021	Springer International Publishing
A Machine Learning Approach to Web Mining	Floriana Esposito; Donato Malerba; Luigi Di Pace; Pietro Leo	AI*IA 99: Advances in Artificial Intelligence: 6th Congress of the Italian Association for Artificial Intelligence Bologna, Italy, September 14-17, 1999 Selected Papers	Evelina Lamma; Paolo Mello	2000	Springer Berlin Heidelberg
A Machine Learning Approach to Workflow Management	Joachim Herbst	Machine Learning: ECML 2000: 11th European Conference on Machine Learning Barcelona, Catalonia, Spain May, 31 - June 2, 2000 Proceedings	Ramon Lopez de Mantaras; Enric Plaza	2000	Springer Berlin Heidelberg
A Scalable Machine Learning Approach to Go		Advances in Neural Information Processing Systems 19: Proceedings of the 2006 Conference	Bernhard Schölkopf; John Platt; Thomas Hofmann	2007	MIT Press,
A Rough Set Approach to Machine Learning	Patrick Doherty; Witold Łukaszewicz; Andrzej Skowron; Andrzej Szałas	Knowledge Representation Techniques: A Rough Set Approach	Patrick Doherty; Witold Lukaszewicz; Andrzej Szalas	2006	Springer Berlin Heidelberg
A machine learning approach to anaphoric reference	Dennis Connolly, John D. Burger and DavidS. Day	New Methods In Language Processing	D. B. Jones; H. Somers	1997	Routledge
A Machine Learning Approach to Information Extracti		Computational Linguistics and Intelligent Text Processing: 6th International Conference, CICLing 2005, Mexico City, Mexico, February 13-19, 2005. Proceedings	Kevin Knight, Jonathan Graehl (auth.), Alexander Gelbukh (eds.)	2005	Springer-Verlag Berlin Heidelberg
21 A Direct Approach to Machine Learning		Boosting: Foundations and Algorithms	Robert E. Schapire, Yoav Freund	2014	The MIT Press
A Scalable Machine Learning Approach to Go		Advances in Neural Information Processing Systems 19: Proceedings of the 2006 Conference	Bernhard Schölkopf; John Platt; Thomas Hofmann	2007	MIT Press
Machine Learning Techniques in Compiler Design	Paul Lokuciejewski; Peter Marwedel	Worst-Case Execution Time Aware Compilation Techniques for Real-Time Systems	Paul Lokuciejewski; Peter Marwedel	2011	Springer Netherlands
Compiler Optimizations: Machine Learning versus O3	Yuriy Kashnikov; Jean Christophe Beyler; William Jalby	Languages and Compilers for Parallel Computing: 25th International Workshops, LCPC 2012, Tokyo, Japan, September 11-13, 2012, Revised Selected Papers	Hironori Kasahara; Keiji Kimura	2013	Springer Berlin Heidelberg
Machine Learning Approaches to Automatic Interpretation of EEGs	Iyad Obeid; Joseph Picone	Signal Processing and Machine Learning for Biomedical Big Data	Ervin Sejdić; Tiago H. Falk	2018	Routledge
Machine learning in production	Charlie Gerard	Practical Machine Learning in JavaScript: TensorFlow. js for Web Developers	Charlie Gerard	1st ed.	Apress
Machine Learning Approach for Automatic Quality Criteria Detection of Healt		MEDINFO 2007: Proceedings of the 12th World Congress on Health (Medical) Informatics (Studies in Health Technology and Informatics)	K.A. Kuhn, J.R. Warren, T.-Y. Leong	2007	IOS Press
Meta-heuristics, Machine Learning, and Deep Learning Methods	Hitoshi Iba	Evolutionary Approach to Machine Learning and Deep Neural Networks: Neuro-Evolution and Gene Regulatory Networks	Hitoshi Iba	1st ed. 2018	Springer Nature Singapore
A constructive approach to compiler correctness	Peter Mosses	Automata, Languages and Programming: Seventh Colloquium, Noordwijkerhout, The Netherlands, July 14-18, 1980. Proceedings	J. W. de Bakker; J. van Leeuwen	1980	Springer Berlin Heidelberg
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