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Author : Stefan Wrobel
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (796 download)
Download or read book Theory Revision and Restructuring in Machine Learning written by Stefan Wrobel and published by . This book was released on 1994 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Stefan Wrobel
Publisher :
ISBN 13 :
Total Pages : 34 pages
Book Rating : 4.:/5 (246 download)
Download or read book Proceedings of the MLNet Familiarization Workshop on Theory Revision and Restructuring in Machine Learning written by Stefan Wrobel and published by . This book was released on 1994 with total page 34 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Stefan Wrobel
Publisher :
ISBN 13 :
Total Pages : 34 pages
Book Rating : 4.:/5 (246 download)
Download or read book Proceedings of the MLNet Familiarization Workshop on Theory Revision and Restructuring in Machine Learning written by Stefan Wrobel and published by . This book was released on 1994 with total page 34 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Joost N. Kok
Publisher : Springer Science & Business Media
ISBN 13 : 3540749578
Total Pages : 829 pages
Book Rating : 4.5/5 (47 download)
Download or read book Machine Learning: ECML 2007 written by Joost N. Kok and published by Springer Science & Business Media. This book was released on 2007-09-05 with total page 829 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 18th European Conference on Machine Learning, ECML 2007, held in Warsaw, Poland, September 2007, jointly with PKDD 2007. The 41 revised full papers and 37 revised short papers presented together with abstracts of four invited talks were carefully reviewed and selected from 592 abstracts submitted to both, ECML and PKDD. The papers present a wealth of new results in the area and address all current issues in machine learning.
Author : Maurizio Proietti
Publisher : Springer Science & Business Media
ISBN 13 : 9783540609391
Total Pages : 284 pages
Book Rating : 4.6/5 (93 download)
Download or read book Logic Program Synthesis and Transformation written by Maurizio Proietti and published by Springer Science & Business Media. This book was released on 1996-03-06 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 5th International Workshop on Logic Program Synthesis and Transformation, LOPSTR'95, held in Utrecht, The Netherlands in September 1995. The 19 papers included were selected from 40 workshop submissions; they offer a unique up-to-date account of the use of formal synthesis and transformation techniques for computer-aided development of logic programs. Among the topics addressed are deductive and inductive program synthesis, synthesis models based on constructive type theory, program specification, program analysis, theorem proving, and applications to various types of programs.
Author : Associazione italiana per l'intelligenza artificiale. Congress
Publisher : Springer Science & Business Media
ISBN 13 : 9783540604372
Total Pages : 472 pages
Book Rating : 4.6/5 (43 download)
Download or read book Topics in Artificial Intelligence written by Associazione italiana per l'intelligenza artificiale. Congress and published by Springer Science & Business Media. This book was released on 1995-09-27 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the refereed proceedings of the 4th Congress of the Italian Association for Artificial Intelligence, AI*IA '95, held in Florence, Italy, in October 1995. The 31 revised full papers and the 12 short presentations contained in the volume were selected from a total of 101 submissions on the basis of a careful reviewing process. The papers are organized in sections on natural language processing, fuzzy systems, machine learning, knowledge representation, automated reasoning, cognitive models, robotics and planning, connectionist models, model-based reasoning, and distributed artificial intelligence.
Author : Zbigniew W. Ras
Publisher : Springer Science & Business Media
ISBN 13 : 9783540612865
Total Pages : 684 pages
Book Rating : 4.6/5 (128 download)
Download or read book Foundations of Intelligent Systems written by Zbigniew W. Ras and published by Springer Science & Business Media. This book was released on 1996-05-15 with total page 684 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 9th International Symposium on Methodologies for Intelligent Systems, ISMIS '96, held in Zakopane, Poland, in June 1996. The 53 revised full papers presented were selected from a total of 124 submissions; also included are 10 invited papers by leading experts surveying the state of the art in the area. The volume covers the following areas: approximate reasoning, evolutionary computation, intelligent information systems, knowledge representation and integration, learning and knowledge discovery, and AI logics.
Author : Stefan Wrobel
Publisher : Springer Science & Business Media
ISBN 13 : 9780792395003
Total Pages : 258 pages
Book Rating : 4.3/5 (95 download)
Download or read book Concept Formation and Knowledge Revision written by Stefan Wrobel and published by Springer Science & Business Media. This book was released on 1994-09-30 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: A fundamental assumption of work in artificial intelligence and machine learning is that knowledge is expressed in a computer with the help of knowledge representations. Since the proper choice of such representations is a difficult task that fundamentally affects the capabilities of a system, the problem of automatic representation change is an important topic in current research. Concept Formation and Knowledge Revision focuses on representation change as a concept formation task, regarding concepts as the elementary representational vocabulary from which further statements are constructed. Taking an interdisciplinary approach from psychological foundations to computer implementations, the book draws on existing psychological results about the nature of human concepts and concept formation to determine the scope of concept formation phenomena, and to identify potential components of computational concept formation models. The central idea of this work is that computational concept formation can usefully be understood as a process that is triggered in a demand-driven fashion by the representational needs of the learning system, and identify the knowledge revision activities of a system as a particular context for such a process. The book presents a detailed analysis of the revision problem for first-order clausal theories, and develops a set of postulates that any such operation should satisfy. It shows how a minimum theory revision operator can be realized by using exception sets, and that this operator is indeed maximally general. The book then shows that concept formation can be triggered from within the knowledge revision process whenever the existing representation does not permit the plausible reformulation of an exception set, demonstrating the usefulness of the approach both theoretically and empirically within the learning knowledge acquisition system MOBAL. In using a first-order representation, this book is part of the rapidly developing field of Inductive Logic Programming (ILP). By integrating the computational issues with psychological and fundamental discussions of concept formation phenomena, the book will be of interest to readers both theoretically and psychologically inclined. From the foreword by Katharina Morik: ` The ideal to combine the three sources of artificial intelligence research has almost never been reached. Such a combined and integrated research requires the researcher to master different ways of thinking, different work styles, different sets of literature, and different research procedures. It requires capabilities in software engineering for the application part, in theoretical computer science for the theory part, and in psychology for the cognitive part. The most important capability for artificial intelligence is to keep the integrative view and to create a true original work that goes beyond the collection of pieces from different fields. This book achieves such an integrative view of concept formation and knowledge revision by presenting the way from psychological investigations that indicate that concepts are theories and point at the important role of a demand for learning. to an implemented system which supports users in their tasks when working with a knowledge base and its theoretical foundation. '
Author : Mohamed Alloghani
Publisher : Springer Nature
ISBN 13 : 3030922456
Total Pages : 258 pages
Book Rating : 4.0/5 (39 download)
Download or read book Artificial Intelligence for Data Science in Theory and Practice written by Mohamed Alloghani and published by Springer Nature. This book was released on 2022-04-05 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides valuable information on effective, state-of-the-art techniques and approaches for governments, students, researchers, practitioners, entrepreneurs and teachers in the field of artificial intelligence (AI). The book explains the data and AI, types and properties of data, the relation between AI algorithms and data, what makes data AI ready, steps of data pre-processing, data quality, data storage and data platforms. Therefore, this book will be interested by AI practitioners, academics, researchers, and lecturers in computer science, artificial intelligence, machine learning and data sciences.
Author : Peter Hoschka
Publisher : CRC Press
ISBN 13 : 1000105962
Total Pages : 322 pages
Book Rating : 4.0/5 (1 download)
Download or read book Computers As Assistants written by Peter Hoschka and published by CRC Press. This book was released on 2021-01-31 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer systems based on the notion of the computer as assistant have recently become the focus of intense interest. The expanding role of the computer in everyday life and the growing number of untrained users make it necessary to think about new ways of dividing labor between humans and machines. Future systems must take on more tasks and perform them more competently and autonomously than existing systems. If they are to be adequately flexible and responsive to complexity, they cannot automate their performance completely. The aim of designers should be to create computer systems with capabilities similar to those of good assistants in the real world. Effective assistance has many characteristics. An assistant is expected to be competent in some domains of expertise, to know the limits of his/her knowledge, to be able to process inexact instructions from clients, to adjust to and learn from them, to explain his/her behavior and suggestions, and to support clients in communication and cooperation with other people. This book believes that such capabilities can be built into computer systems. To that end, the chapter contributors discuss the concepts and methods--particularly from the fields of artificial intelligence and computer-supported cooperative work (CSCW)--that they have drawn from to develop successful system prototypes. They present several of these prototypes including assistants for graphics design, knowledge discovery in data bases, coordination support, organizational memory, user interface design, and knowledge base construction. As such, this volume helps map out the future for all those involved in computer systems design.
Author : Tim Menzies
Publisher : Morgan Kaufmann
ISBN 13 : 0124173071
Total Pages : 415 pages
Book Rating : 4.1/5 (241 download)
Download or read book Sharing Data and Models in Software Engineering written by Tim Menzies and published by Morgan Kaufmann. This book was released on 2014-12-22 with total page 415 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Science for Software Engineering: Sharing Data and Models presents guidance and procedures for reusing data and models between projects to produce results that are useful and relevant. Starting with a background section of practical lessons and warnings for beginner data scientists for software engineering, this edited volume proceeds to identify critical questions of contemporary software engineering related to data and models. Learn how to adapt data from other organizations to local problems, mine privatized data, prune spurious information, simplify complex results, how to update models for new platforms, and more. Chapters share largely applicable experimental results discussed with the blend of practitioner focused domain expertise, with commentary that highlights the methods that are most useful, and applicable to the widest range of projects. Each chapter is written by a prominent expert and offers a state-of-the-art solution to an identified problem facing data scientists in software engineering. Throughout, the editors share best practices collected from their experience training software engineering students and practitioners to master data science, and highlight the methods that are most useful, and applicable to the widest range of projects. Shares the specific experience of leading researchers and techniques developed to handle data problems in the realm of software engineering Explains how to start a project of data science for software engineering as well as how to identify and avoid likely pitfalls Provides a wide range of useful qualitative and quantitative principles ranging from very simple to cutting edge research Addresses current challenges with software engineering data such as lack of local data, access issues due to data privacy, increasing data quality via cleaning of spurious chunks in data
Author : Sven Arnhold
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (931 download)
Download or read book Data Restructuring as Formal Preprocessing for Machine Learning with Neural Networks written by Sven Arnhold and published by . This book was released on 2015 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Armand Prieditis
Publisher : Morgan Kaufmann
ISBN 13 : 1483298663
Total Pages : 606 pages
Book Rating : 4.4/5 (832 download)
Download or read book Machine Learning Proceedings 1995 written by Armand Prieditis and published by Morgan Kaufmann. This book was released on 2014-06-28 with total page 606 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning Proceedings 1995
Author : Stellan Ohlsson
Publisher : Cambridge University Press
ISBN 13 : 1139496751
Total Pages : 541 pages
Book Rating : 4.1/5 (394 download)
Download or read book Deep Learning written by Stellan Ohlsson and published by Cambridge University Press. This book was released on 2011-01-31 with total page 541 pages. Available in PDF, EPUB and Kindle. Book excerpt: Although the ability to retain, process, and project prior experience onto future situations is indispensable, the human mind also possesses the ability to override experience and adapt to changing circumstances. Cognitive scientist Stellan Ohlsson analyzes three types of deep, non-monotonic cognitive change: creative insight, adaptation of cognitive skills by learning from errors, and conversion from one belief to another, incompatible belief. For each topic, Ohlsson summarizes past research, re-formulates the relevant research questions, and proposes information-processing mechanisms that answer those questions. The three theories are based on the principles of redistribution of activation, specialization of practical knowledge, and re-subsumption of declarative information. Ohlsson develops the implications of those mechanisms by scaling their effects with respect to time, complexity, and social interaction. The book ends with a unified theory of non-monotonic cognitive change that captures the abstract properties that the three types of change share.
Author :
Publisher :
ISBN 13 :
Total Pages : 288 pages
Book Rating : 4.3/5 (91 download)
Download or read book Logic Program Synthesis and Transformation written by and published by . This book was released on 1995 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : George A. Tsihrintzis
Publisher : Springer
ISBN 13 : 9783030767969
Total Pages : 0 pages
Book Rating : 4.7/5 (679 download)
Download or read book Advances in Machine Learning/Deep Learning-based Technologies written by George A. Tsihrintzis and published by Springer. This book was released on 2022-08-08 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: As the 4th Industrial Revolution is restructuring human societal organization into, so-called, “Society 5.0”, the field of Machine Learning (and its sub-field of Deep Learning) and related technologies is growing continuously and rapidly, developing in both itself and towards applications in many other disciplines. Researchers worldwide aim at incorporating cognitive abilities into machines, such as learning and problem solving. When machines and software systems have been enhanced with Machine Learning/Deep Learning components, they become better and more efficient at performing specific tasks. Consequently, Machine Learning/Deep Learning stands out as a research discipline due to its worldwide pace of growth in both theoretical advances and areas of application, while achieving very high rates of success and promising major impact in science, technology and society. The book at hand aims at exposing its readers to some of the most significant Advances in Machine Learning/Deep Learning-based Technologies. The book consists of an editorial note and an additional ten (10) chapters, all invited from authors who work on the corresponding chapter theme and are recognized for their significant research contributions. In more detail, the chapters in the book are organized into five parts, namely (i) Machine Learning/Deep Learning in Socializing and Entertainment, (ii) Machine Learning/Deep Learning in Education, (iii) Machine Learning/Deep Learning in Security, (iv) Machine Learning/Deep Learning in Time Series Forecasting, and (v) Machine Learning in Video Coding and Information Extraction. This research book is directed towards professors, researchers, scientists, engineers and students in Machine Learning/Deep Learning-related disciplines. It is also directed towards readers who come from other disciplines and are interested in becoming versed in some of the most recent Machine Learning/Deep Learning-based technologies. An extensive list of bibliographic references at the end of each chapter guides the readers to probe further into the application areas of interest to them.
Author : Frank E. Ritter
Publisher : Oxford University Press
ISBN 13 : 019517884X
Total Pages : 255 pages
Book Rating : 4.1/5 (951 download)
Download or read book In Order to Learn written by Frank E. Ritter and published by Oxford University Press. This book was released on 2007-07-30 with total page 255 pages. Available in PDF, EPUB and Kindle. Book excerpt: In Order to Learn shows how order effects are crucial in human learning, instructional design, machine learning, and both symbolic and connectionist cognitive models. Each chapter explains a different aspect of how the order in which material is presented can strongly influence what is learned by humans and theoretical models of learning in a variety of domains. In addition to data, models are provided that predict and describe order effects and analyze how and when they will occur.
