C4.5

C4.5
Author: J. Ross Quinlan
Publisher: Morgan Kaufmann
Total Pages: 286
Release: 1993
Genre: Computers
ISBN: 9781558602380

This book is a complete guide to the C4.5 system as implemented in C for the UNIX environment. It contains a comprehensive guide to the system's use, the source code (about 8,800 lines), and implementation notes.

Machine Learning: From Theory to Applications

Machine Learning: From Theory to Applications
Author: Stephen J. Hanson
Publisher: Springer Science & Business Media
Total Pages: 292
Release: 1993-03-30
Genre: Computers
ISBN: 9783540564836

This volume includes some of the key research papers in the area of machine learning produced at MIT and Siemens during a three-year joint research effort. It includes papers on many different styles of machine learning, organized into three parts. Part I, theory, includes three papers on theoretical aspects of machine learning. The first two use the theory of computational complexity to derive some fundamental limits on what isefficiently learnable. The third provides an efficient algorithm for identifying finite automata. Part II, artificial intelligence and symbolic learning methods, includes five papers giving an overview of the state of the art and future developments in the field of machine learning, a subfield of artificial intelligence dealing with automated knowledge acquisition and knowledge revision. Part III, neural and collective computation, includes five papers sampling the theoretical diversity and trends in the vigorous new research field of neural networks: massively parallel symbolic induction, task decomposition through competition, phoneme discrimination, behavior-based learning, and self-repairing neural networks.

Machine Learning: ECML-94

Machine Learning: ECML-94
Author: Francesco Bergadano
Publisher: Springer Science & Business Media
Total Pages: 460
Release: 1994-03-22
Genre: Computers
ISBN: 9783540578680

This volume contains the proceedings of the European Conference on Machine Learning 1994, which continues the tradition of earlier meetings and which is a major forum for the presentation of the latest and most significant results in machine learning. Machine learning is one of the most important subfields of artificial intelligence and computer science, as it is concerned with the automation of learning processes. This volume contains two invited papers, 19 regular papers, and 25 short papers carefully reviewed and selected from in total 88 submissions. The papers describe techniques, algorithms, implementations, and experiments in the area of machine learning.

Machine Learning: ECML-93

Machine Learning: ECML-93
Author: Pavel B. Brazdil
Publisher: Springer Science & Business Media
Total Pages: 492
Release: 1993-03-23
Genre: Computers
ISBN: 9783540566021

This volume contains the proceedings of the Eurpoean Conference on Machine Learning (ECML-93), continuing the tradition of the five earlier EWSLs (European Working Sessions on Learning). The aim of these conferences is to provide a platform for presenting the latest results in the area of machine learning. The ECML-93 programme included invited talks, selected papers, and the presentation of ongoing work in poster sessions. The programme was completed by several workshops on specific topics. The volume contains papers related to all these activities. The first chapter of the proceedings contains two invited papers, one by Ross Quinlan and one by Stephen Muggleton on inductive logic programming. The second chapter contains 18 scientific papers accepted for the main sessions of the conference. The third chapter contains 18 shorter position papers. The final chapter includes three overview papers related to the ECML-93 workshops.

Parallel Computer Architectures

Parallel Computer Architectures
Author: Arndt Bode
Publisher: Springer
Total Pages: 322
Release: 2013-12-11
Genre: Computers
ISBN: 3662215772

Parallel computer architectures are now going to real applications! This fact is demonstrated by the large number of application areas covered in this book (see section on applications of parallel computer architectures). The applications range from image analysis to quantum mechanics and data bases. Still, the use of parallel architectures poses serious problems and requires the development of new techniques and tools. This book is a collection of best papers presented at the first workshop on two major research activities at the Universitiit Erlangen-Niirnberg and Technis che Universitiit Miinchen. At both universities, more than 100 researchers are working in the field of multiprocessor systems and network configurations and methods and tools for parallel systems. Indeed, the German Science Founda tion (Deutsche Forschungsgemeinschaft) has been sponsoring the projects under grant numbers SFB 182 and SFB 342. Research grants in the form of a Sonder forschungsbereich are given to selected German Universities in portions of three years following a thoroughful reviewing process. The overall duration of such a research grant is restricted to 12 years. The initiative at Erlangen-Niirnberg was started in 1987 and has been headed since this time by Prof. Dr. H. Wedekind. Work at TU-Miinchen began in 1990, head of this initiative is Prof. Dr. A. Bode. The authors of this book are grateful to the Deutsche Forschungsgemeinschaft for its continuing support in the field of research on parallel processing. The first section of the book is devoted to hardware aspects of parallel systems.

Motion Planning

Motion Planning
Author: Xj Jing
Publisher: BoD – Books on Demand
Total Pages: 610
Release: 2008-06-01
Genre: Technology & Engineering
ISBN: 953761901X

In this book, new results or developments from different research backgrounds and application fields are put together to provide a wide and useful viewpoint on these headed research problems mentioned above, focused on the motion planning problem of mobile ro-bots. These results cover a large range of the problems that are frequently encountered in the motion planning of mobile robots both in theoretical methods and practical applications including obstacle avoidance methods, navigation and localization techniques, environmental modelling or map building methods, and vision signal processing etc. Different methods such as potential fields, reactive behaviours, neural-fuzzy based methods, motion control methods and so on are studied. Through this book and its references, the reader will definitely be able to get a thorough overview on the current research results for this specific topic in robotics. The book is intended for the readers who are interested and active in the field of robotics and especially for those who want to study and develop their own methods in motion/path planning or control for an intelligent robotic system.