Machine Learning Proceedings 1990 PDF Download
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Author | : Machine Learning |
Publisher | : Morgan Kaufmann |
Total Pages | : 427 |
Release | : 2014-05-23 |
Genre | : Computers |
ISBN | : 1483298582 |
Download Machine Learning Proceedings 1990 Book in PDF, ePub and Kindle
Machine Learning Proceedings 1990
Author | : International Conference on Machine Learning (University of Texas in Austin.) |
Publisher | : |
Total Pages | : 427 |
Release | : 1990 |
Genre | : |
ISBN | : 9781558601413 |
Download Machine Learning Book in PDF, ePub and Kindle
Author | : M. H. Hamza |
Publisher | : Anaheim, Calif. ; Calgary : ACTA Press |
Total Pages | : 111 |
Release | : 1990-01-01 |
Genre | : Machine learning |
ISBN | : 9780889861725 |
Download Proceedings of the IASTED International Symposium, Machine Learning and Neural Networks Book in PDF, ePub and Kindle
Author | : Machine Learning |
Publisher | : Morgan Kaufmann |
Total Pages | : 661 |
Release | : 2014-06-28 |
Genre | : Computers |
ISBN | : 1483298175 |
Download Machine Learning Proceedings 1991 Book in PDF, ePub and Kindle
Machine Learning
Author | : Lawrence A. Birnbaum |
Publisher | : Morgan Kaufmann |
Total Pages | : 540 |
Release | : 2014-05-23 |
Genre | : Computers |
ISBN | : 1483298620 |
Download Machine Learning Proceedings 1993 Book in PDF, ePub and Kindle
Machine Learning Proceedings 1993
Author | : William W. Cohen |
Publisher | : Morgan Kaufmann |
Total Pages | : 398 |
Release | : 2014-06-28 |
Genre | : Computers |
ISBN | : 1483298183 |
Download Machine Learning Proceedings 1994 Book in PDF, ePub and Kindle
Machine Learning Proceedings 1994
Author | : Peter Edwards |
Publisher | : Morgan Kaufmann |
Total Pages | : 497 |
Release | : 2014-06-28 |
Genre | : Computers |
ISBN | : 1483298531 |
Download Machine Learning Proceedings 1992 Book in PDF, ePub and Kindle
Machine Learning Proceedings 1992
Author | : Grzegorz Rozenberg |
Publisher | : Springer Science & Business Media |
Total Pages | : 534 |
Release | : 1991-03-13 |
Genre | : Computers |
ISBN | : 9783540538639 |
Download Advances in Petri Nets 1990 Book in PDF, ePub and Kindle
The main idea behind the series of volumes Advances in Petri Nets is to present to the general computer science community recent results which are the most representative and significant for the development of the area. The papers for the volumes are drawn mainly from the annual International Conferences on Applications and Theory of Petri Nets. Selected papers from the latest conference are independently refereed, and revised and extended as necessary. Some further papers submitted directly to the editor are included. Advances in Petri Nets 1990 covers the Tenth International Conference on Applications and Theory of Petri Nets held in Bonn, Germany, in June 1989. Additional highlights of this volume include a tutorial on refinements of Petri nets by W. Brauer, R. Gold, and W. Vogler, and a tutorial on analysis and synthesis of free choice systems by J. Esparza and M. Silva, both prepared in the framework of the ESPRIT Basic Research Actions Project DEMON.
Author | : Machine Learning |
Publisher | : Morgan Kaufmann |
Total Pages | : 400 |
Release | : 2016-01-22 |
Genre | : Computers |
ISBN | : 1483298663 |
Download Machine Learning Proceedings 1995 Book in PDF, ePub and Kindle
Machine Learning Proceedings 1995
Author | : Uma N. Dulhare |
Publisher | : John Wiley & Sons |
Total Pages | : 544 |
Release | : 2020-09-01 |
Genre | : Computers |
ISBN | : 1119654742 |
Download Machine Learning and Big Data Book in PDF, ePub and Kindle
This book is intended for academic and industrial developers, exploring and developing applications in the area of big data and machine learning, including those that are solving technology requirements, evaluation of methodology advances and algorithm demonstrations. The intent of this book is to provide awareness of algorithms used for machine learning and big data in the academic and professional community. The 17 chapters are divided into 5 sections: Theoretical Fundamentals; Big Data and Pattern Recognition; Machine Learning: Algorithms & Applications; Machine Learning's Next Frontier and Hands-On and Case Study. While it dwells on the foundations of machine learning and big data as a part of analytics, it also focuses on contemporary topics for research and development. In this regard, the book covers machine learning algorithms and their modern applications in developing automated systems. Subjects covered in detail include: Mathematical foundations of machine learning with various examples. An empirical study of supervised learning algorithms like Naïve Bayes, KNN and semi-supervised learning algorithms viz. S3VM, Graph-Based, Multiview. Precise study on unsupervised learning algorithms like GMM, K-mean clustering, Dritchlet process mixture model, X-means and Reinforcement learning algorithm with Q learning, R learning, TD learning, SARSA Learning, and so forth. Hands-on machine leaning open source tools viz. Apache Mahout, H2O. Case studies for readers to analyze the prescribed cases and present their solutions or interpretations with intrusion detection in MANETS using machine learning. Showcase on novel user-cases: Implications of Electronic Governance as well as Pragmatic Study of BD/ML technologies for agriculture, healthcare, social media, industry, banking, insurance and so on.