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Machine Learning Proceedings 1995


Machine Learning Proceedings 1995
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Machine Learning


Machine Learning
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Author : Armand Prieditis
language : en
Publisher: Morgan Kaufmann
Release Date : 1995

Machine Learning written by Armand Prieditis and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Computers categories.


Machine Learning Proceedings 1995.



Connectionist Statistical And Symbolic Approaches To Learning For Natural Language Processing


Connectionist Statistical And Symbolic Approaches To Learning For Natural Language Processing
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Author : Stefan Wermter
language : en
Publisher: Springer Science & Business Media
Release Date : 1996-03-15

Connectionist Statistical And Symbolic Approaches To Learning For Natural Language Processing written by Stefan Wermter and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996-03-15 with Computers categories.


This book is based on the workshop on New Approaches to Learning for Natural Language Processing, held in conjunction with the International Joint Conference on Artificial Intelligence, IJCAI'95, in Montreal, Canada in August 1995. Most of the 32 papers included in the book are revised selected workshop presentations; some papers were individually solicited from members of the workshop program committee to give the book an overall completeness. Also included, and written with the novice reader in mind, is a comprehensive introductory survey by the volume editors. The volume presents the state of the art in the most promising current approaches to learning for NLP and is thus compulsory reading for researchers in the field or for anyone applying the new techniques to challenging real-world NLP problems.



Term Indexing


Term Indexing
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Author : Peter Graf
language : en
Publisher: Springer Science & Business Media
Release Date : 1995

Term Indexing written by Peter Graf and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Computers categories.


Term indexing supports the construction of efficient automated reasoning systems, as e.g. automated theorem provers, by allowing rapid access to first order predicate calculus terms with specific properties. This monograph provides a comprehensive, well-written survey on term indexing in general and presents new indexing techniques for the retrieval and maintenance of data that help to overcome program degradation in automated reasoning systems. Theoretical foundations and applicational aspects are treated in detail; finally the PURR prover for parallel unit resulting resolution is discussed to demonstrate the importance of careful implementations.



Machine Learning And Big Data


Machine Learning And Big Data
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Author : Uma N. Dulhare
language : en
Publisher: John Wiley & Sons
Release Date : 2020-09-01

Machine Learning And Big Data written by Uma N. Dulhare and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-01 with Computers categories.


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.



Time Structures


Time Structures
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Author : Elzbieta Hajnicz
language : en
Publisher: Springer Science & Business Media
Release Date : 1996-03-20

Time Structures written by Elzbieta Hajnicz and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996-03-20 with Computers categories.


The notion of time plays an important role in modern science. In computer science and artificial intelligence, the parameter of time is of particular importance, e.g. for planning robot activity, natural language processing, and time-varying scene analysis. This work investigates the relationship between classic, first-order theories of point- and interval-based time structures, modal logics of corresponding structures, and their algorithmic representations. To make this relationship complete, a formalisation of Allen's famous algorithm, applicable to various structures of time, is presented along with its translation to modal logics. All in all, the book is a competent and comprehensive analysis of logical descriptions and algorithmic representations of time structures.



Encyclopedia Of Machine Learning


Encyclopedia Of Machine Learning
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Author : Claude Sammut
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-03-28

Encyclopedia Of Machine Learning written by Claude Sammut and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-03-28 with Computers categories.


This comprehensive encyclopedia, in A-Z format, provides easy access to relevant information for those seeking entry into any aspect within the broad field of Machine Learning. Most of the entries in this preeminent work include useful literature references.



Communication And Cooperation In Agent Systems


Communication And Cooperation In Agent Systems
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Author : Afsaneh Haddadi
language : en
Publisher: Springer Science & Business Media
Release Date : 1996-04-17

Communication And Cooperation In Agent Systems written by Afsaneh Haddadi and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996-04-17 with Computers categories.


This book is devoted to the design and analysis of techniques enabling intelligent and dynamic cooperation and communication among agents in a distributed environment. A flexible theoretical formalism is developed in detail and it is demonstrated how this approach can be used for the design of agent architectures in practice. The formal part of this work is based on a variant of the BDI logic introduced by Georgeff and Rao. This book, for the first time, outlines this formalism in some depth. The most important practical benefit provided is the concept of cooperation protocols allowing the representation of various methods of cooperation and possible patterns of dialogue.



Term Rewriting


Term Rewriting
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Author : Hubert Comon
language : en
Publisher: Springer Science & Business Media
Release Date : 1995-04-25

Term Rewriting written by Hubert Comon and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995-04-25 with Computers categories.


This volume contains thoroughly revised versions of the contributions presented at the French Spring School of Theoretical Computer Science, held in Font Romeu, France in May 1993. This seminar was devoted to rewriting in a broad sense, as rewriting is now an important discipline, relating to many other areas such as formal languages, models of concurrency, tree automata, functional programming languages, constraints, symbolic computation, and automated deduction. The book includes a number of surveys contributed by senior researchers as well as a few papers presenting original research of relevance for the broader theoretical computer science community.



Medical Applications Of Artificial Intelligence


Medical Applications Of Artificial Intelligence
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Author : Arvin Agah
language : en
Publisher: CRC Press
Release Date : 2013-11-06

Medical Applications Of Artificial Intelligence written by Arvin Agah and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-11-06 with Medical categories.


Enhanced, more reliable, and better understood than in the past, artificial intelligence (AI) systems can make providing healthcare more accurate, affordable, accessible, consistent, and efficient. However, AI technologies have not been as well integrated into medicine as predicted. In order to succeed, medical and computational scientists must develop hybrid systems that can effectively and efficiently integrate the experience of medical care professionals with capabilities of AI systems. After providing a general overview of artificial intelligence concepts, tools, and techniques, Medical Applications of Artificial Intelligence reviews the research, focusing on state-of-the-art projects in the field. The book captures the breadth and depth of the medical applications of artificial intelligence, exploring new developments and persistent challenges.



Markov Decision Processes In Artificial Intelligence


Markov Decision Processes In Artificial Intelligence
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Author : Olivier Sigaud
language : en
Publisher: John Wiley & Sons
Release Date : 2013-03-04

Markov Decision Processes In Artificial Intelligence written by Olivier Sigaud and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-04 with Technology & Engineering categories.


Markov Decision Processes (MDPs) are a mathematical framework for modeling sequential decision problems under uncertainty as well as reinforcement learning problems. Written by experts in the field, this book provides a global view of current research using MDPs in artificial intelligence. It starts with an introductory presentation of the fundamental aspects of MDPs (planning in MDPs, reinforcement learning, partially observable MDPs, Markov games and the use of non-classical criteria). It then presents more advanced research trends in the field and gives some concrete examples using illustrative real life applications.