Download or read book Machine Learning Proceedings 1988 written by John Laird and published by Morgan Kaufmann. This book was released on 2014-05-23 with total page 476 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning Proceedings 1988
Download or read book ICML 2004 written by Russell Greiner and published by . This book was released on 2004 with total page 942 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Machine Learning Proceedings 1992 written by Peter Edwards and published by Morgan Kaufmann. This book was released on 2014-06-28 with total page 497 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning Proceedings 1992
Download or read book Machine Learning Proceedings 1989 written by Alberto Maria Segre and published by Morgan Kaufmann. This book was released on 2014-06-28 with total page 521 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning Proceedings 1989
Download or read book Machine Learning Proceedings 1993 written by Lawrence A. Birnbaum and published by Morgan Kaufmann. This book was released on 2014-05-23 with total page 361 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning Proceedings 1993
Download or read book Machine Learning Proceedings 1991 written by Lawrence A. Birnbaum and published by Morgan Kaufmann. This book was released on 2014-06-28 with total page 682 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning
Download or read book Machine Learning written by Yves Kodratoff and published by Elsevier. This book was released on 2014-06-28 with total page 836 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning: An Artificial Intelligence Approach, Volume III presents a sample of machine learning research representative of the period between 1986 and 1989. The book is organized into six parts. Part One introduces some general issues in the field of machine learning. Part Two presents some new developments in the area of empirical learning methods, such as flexible learning concepts, the Protos learning apprentice system, and the WITT system, which implements a form of conceptual clustering. Part Three gives an account of various analytical learning methods and how analytic learning can be applied to various specific problems. Part Four describes efforts to integrate different learning strategies. These include the UNIMEM system, which empirically discovers similarities among examples; and the DISCIPLE multistrategy system, which is capable of learning with imperfect background knowledge. Part Five provides an overview of research in the area of subsymbolic learning methods. Part Six presents two types of formal approaches to machine learning. The first is an improvement over Mitchell's version space method; the second technique deals with the learning problem faced by a robot in an unfamiliar, deterministic, finite-state environment.
Download or read book Machine Learning Proceedings 1990 written by Bruce Porter and published by Morgan Kaufmann. This book was released on 2014-05-23 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning Proceedings 1990
Download or read book LOGLAN 88 Report on the Programming Language written by Antoni Kreczmar and published by Springer Science & Business Media. This book was released on 1990-03-07 with total page 150 pages. Available in PDF, EPUB and Kindle. Book excerpt: LOGLAN '88 belongs to the family of object oriented programming languages. It embraces all important known tools and characteristics of OOP, i.e. classes, objects, inheritance, coroutine sequencing, but it does not get rid of traditional imperative programming: primitive types do not need to be objects; records, static arrays, subtypes and other similar type contructs are admitted. LOGLAN has non-traditional memory model which accepts programmed deallocation but avoids dangling reference. The LOGLAN semantic model provides multi-level inheritance, which properly cooperates with module nesting. Parallelism in LOGLAN has an object oriented nature. Processes are treated like objects of classes and communication between processes is provided by alien calls similar to remote calls.
Download or read book Multistrategy Learning written by Ryszard S. Michalski and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt: Most machine learning research has been concerned with the development of systems that implememnt one type of inference within a single representational paradigm. Such systems, which can be called monostrategy learning systems, include those for empirical induction of decision trees or rules, explanation-based generalization, neural net learning from examples, genetic algorithm-based learning, and others. Monostrategy learning systems can be very effective and useful if learning problems to which they are applied are sufficiently narrowly defined. Many real-world applications, however, pose learning problems that go beyond the capability of monostrategy learning methods. In view of this, recent years have witnessed a growing interest in developing multistrategy systems, which integrate two or more inference types and/or paradigms within one learning system. Such multistrategy systems take advantage of the complementarity of different inference types or representational mechanisms. Therefore, they have a potential to be more versatile and more powerful than monostrategy systems. On the other hand, due to their greater complexity, their development is significantly more difficult and represents a new great challenge to the machine learning community. Multistrategy Learning contains contributions characteristic of the current research in this area.
Download or read book Instantiation Theory written by James G. Williams and published by Springer Science & Business Media. This book was released on 1991-08-07 with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt: Instantiation Theory presents a new, general unification algorithm that is of immediate use in building theorem provers and logic programming systems. Instantiation theory is the study of instantiation in an abstract context that is applicable to most commonly studied logical formalisms. The volume begins with a survey of general approaches to the study of instantiation, as found in tree systems, order-sorted algebras, algebraic theories, composita, and instantiation systems. A classification of instantiation systems is given, based on properties of substitutions, degree of type strictness, and well-foundedness of terms. Equational theories and the use of typed variables are studied in terms of quotient homomorphisms and embeddings, respectively. Every instantiation system is a quotient system of a subsystem of first-order term instantiation. The general unification algorithm is developed as an application of the basic theory. Its soundness is rigorously proved, and its completeness and efficiency are verfied for certain classes of instantiation systems. Appropriate applications of the algorithm include unification of first-order terms, order-sorted terms, and first-order formulas modulo alpha-conversion, as well as equational unification using simple congruences.
Download or read book Advanced Artificial Intelligence written by Zhongzhi Shi and published by World Scientific. This book was released on 2011 with total page 631 pages. Available in PDF, EPUB and Kindle. Book excerpt: 'Advanced Artificial Intelligence' consists of 16 chapters. The content of the book is novel, reflects the research updates in this field, and especially summarises the author's scientific efforts over many years.
Download or read book Temporally Distributed Symptoms in Technical Diagnosis written by Klaus Nökel and published by Springer Science & Business Media. This book was released on 1991-07-24 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: Complex machines can fail in complex ways. Often the nature of the fault can be determined only through the interpretation of machine behavior over time. This book presents a novel approach to the representation and recognition of temporally distributed symptoms. Existing diagnostic expert systems usually operate under a set of simplifying assumptions that limit their applicability. A common assumption is that the device to be diagnosed has a static behavior, with the relation between inputs and outputs constant over time. In most realistic application domains this assumption is violated and both the normal, intended function of the device and the potential malfunctions are complex behaviors over time. This book addresses the problem of systematically treating information about fault symptoms that are spread out over periods of time. These symptoms are characterized by a specific order of events, and in the general case a single snapshot of the device state does not suffice to recognize the symptoms. Instead one has to plan a measurement sequence that consists of several observations at more than one time point. Starting with a classification of various types of dynamic faulty behavior, the author identifies temporally distributed systems (TDSs) and designs a representation language that allows TDSs to be specified in a declarative manner. The definition of a successful match of a measurement sequence against a TDS specification is operationalized as an algorithm which plans such an observation sequence based on the TDS specification. The author demonstrates that his novel solution is a generic, paradigm-independent building block for diagnostic expert systems by embedding it into the frameworks of both an associative and a model-based diagnostic system. The book will be valuable both for researchers working on applications of temporal reasoning and prospective users of technical expert systems.
Download or read book FGCS 92 written by and published by IOS Press. This book was released on 1992 with total page 788 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Readings in Machine Learning written by Jude W. Shavlik and published by Morgan Kaufmann. This book was released on 1990 with total page 868 pages. Available in PDF, EPUB and Kindle. Book excerpt: The ability to learn is a fundamental characteristic of intelligent behavior. Consequently, machine learning has been a focus of artificial intelligence since the beginnings of AI in the 1950s. The 1980s saw tremendous growth in the field, and this growth promises to continue with valuable contributions to science, engineering, and business. Readings in Machine Learning collects the best of the published machine learning literature, including papers that address a wide range of learning tasks, and that introduce a variety of techniques for giving machines the ability to learn. The editors, in cooperation with a group of expert referees, have chosen important papers that empirically study, theoretically analyze, or psychologically justify machine learning algorithms. The papers are grouped into a dozen categories, each of which is introduced by the editors.
Download or read book Concepts Design and Performance Analysis of a Parallel Prolog Machine written by Joachim Beer and published by Springer Science & Business Media. This book was released on 1989-12-13 with total page 140 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph presents a novel execution model for the parallel execution of standard sequential Prolog. In this execution model Prolog procedure calls can be efficiently pipelined, and the author shows how even fully deterministic Prolog programs can be effectively mapped onto the proposed architecture. The design is based on a highly optimized abstract Prolog specific instruction set. A special feature of this work is a sophisticated classification scheme for Prolog variables which substantially reduces the overhead for unification with occur-check. To support the model an architecture consisting of a circular pipeline of independent processors has been designed. This pipeline has been designed to work as a co-processor to a UNIX based workstation. In contrast to other attempts to execute sequential Prolog in parallel, the proposed model does not restrict the use of any of the standard Prolog language features. The book gives a full account of the execution model, the system architecture, and the abstract Prolog instruction set.
Download or read book Machine Learning and Artificial Intelligence written by A.J. Tallón-Ballesteros and published by IOS Press. This book was released on 2020-12-15 with total page 482 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine learning and artificial intelligence are already widely applied to facilitate our daily lives, as well as scientific research, but with the world currently facing a global COVID-19 pandemic, their capacity to provide an important tool to support those searching for a way to combat the novel corona virus has never been more important. This book presents the proceedings of the International Conference on Machine Learning and Intelligent Systems (MLIS 2020), which was due to be held in Seoul, Korea, from 25-28 October 2020, but which was delivered as an online conference on the same dates due to COVID-19 restrictions. MLIS 2020 was the latest in a series of annual conferences that aim to provide a platform for exchanging knowledge about the most recent scientific and technological advances in the field of machine learning and intelligent systems. The annual conference also strengthens links within the scientific community in related research areas. The book contains 53 papers, selected from more than 160 submissions and presented at MLIS 2020. Selection was based on the results of review and scored on: originality, scientific/practical significance, compelling logical reasoning and language. Topics covered include: data mining, image processing, neural networks, human health, natural language processing, video processing, computational intelligence, expert systems, human-computer interaction, deep learning, and robotics. Offering a current overview of research and developments in machine learning and artificial intelligence, the book will be of interest to all those working in the field.
