الصفحة 8
الصفحة 8
Genetic programming : Theory and practice II
This volume explores the emerging interaction between theory and practice in the cutting-edge, machine learning method of Genetic Programming (GP). The contributions developed from a second workshop at the University of Michigan's Center for the Study of Complex Systems where leading international genetic programming theorists from major universities and active practitioners from leading industries and businesses met to examine how GP theory informs practice and how GP practice impacts GP theory. Chapters include such topics as financial trading rules, industrial statistical model building, population sizing, the roles of structure in problem solving by computer, stock picking, automated design of industrial-strength analog circuits, topological synthesis of robust systems, algorithmic chemistry, supply chain reordering policies, post docking filtering, an evolved antenna for a NASA mission and incident detection on highways.
Generative programming and component engineering ; 4th International conference, GPCE 2005, Tallinn, Estonia, September 29 - October 1, 2005, Proceedings
Generative Programming and Component Engineering (GPCE) is a leading - searchconferenceonautomaticprogrammingandcomponentengineering.These approaches to software engineering have the potential to revolutionize software development as automation and components revolutionized manufacturing. The conference brings together researchers and practitioners interested in adva- ing automation for software development. It is also a premier forum for cro- fertilization between the programming language and software engineering - search communities. GPCEaroseasajointconference, mergingthepriorconferenceonGenerative and Component-Based Software Engineering (GCSE) and the Workshop on - mantics, Applications, andImplementationofProgramGeneration(SAIG). The proceedingsofthepreviousGPCEconferenceswerepublishedintheLNCSseries of Springer as volumes2487,2830, and 3286.In 2005 GPCE wasco-locatedwith the International Conference on Functional Programming (ICFP) and the s- posium on Trends in Functional Programming (TFP), re?ecting the vigorous interaction between the functional programming and generative programming research communities. GPCE and ICFP are both sponsored by the Association for Computing Machinery. The quality and breadth of the papers submitted to GPCE 2005 was impr- sive. All 86 papers, including 5 papers for tool demonstrations, were rigorously reviewed by 17 highly quali?ed Program Committee members. The members of the Program Committee ?rst provided in-depth individual reviews of the s- mitted papers, and then debated the merits of the papers through an extended electronicProgramCommitteemeeting.After much(friendly) argument,25r- ular papers and 2 tool demonstration papers were selected for publication. The ProgramCommittee provided extensive technical feedback to the authors of the submittedpapers.Theconferenceprogramwascomplementedwiththreeinvited talks, three extended tutorials, and three all-day workshops.
Generative and transformational techniques in software engineering ; International Summer School, GTTSE 2005, Braga, Portugal, July 4-8, 2005. Revised Papers
This tutorial book presents an augmented selection of material presented at the International Summer School on Generative and Transformational Techniques in Software Engineering, GTTSE 2005. The book comprises 7 tutorial lectures presented together with 8 technology presentations and 6 contributions to the participants workshop.
Generating hardware assertion checkers : For hardware verification, emulation, post-fabrication debugging and on-line monitoring
This is the first book that presents an “under-the-hood” view of generating assertion checkers, and as such provides a unique and consistent perspective on employing assertions in major areas, such as: specification, verification, debugging, on-line monitoring and design quality improvement.
Gene Expression Programming : Mathematical Modeling by an Artificial Intelligence
This monograph provides all the implementation details of GEP so that anyone with elementary programming skills will be able to implement it themselves. The book also includes a self-contained introduction to this new exciting field of computational intelligence, including several new algorithms for decision tree induction, data mining, classifier systems, function finding, polynomial induction, times series prediction, evolution of linking functions, automatically defined functions, parameter optimization, logic synthesis, combinatorial optimization, and complete neural network induction. The book also discusses some important and controversial evolutionary topics that might be refreshing to both evolutionary computer scientists and biologists.
Fundamentals of computation theory ; 16th International Symposium, FCT 2007, Budapest, Hungary, August 27-30, 2007, Proceedings
This book constitutes the refereed proceedings of the 16th International Symposium Fundamentals of Computation Theory. The papers address all current topics in computation theory.
Fundamentals of computation theory ; 15th International symposium, FCT 2005, Lübeck, Gemany, August 17-20, 2005, Proceedings
This book constitutes the refereed proceedings of the 15th International Symposium Fundamentals of Computation Theory, FCT 2005, held in L]beck, Germany in August 2005. The 46 revised full papers presented together with 3 invited papers were carefully reviewed and selected from 105 submissions. The papers are organized in topical sections on circuits, automata, complexity, approximability, computational and structural complexity, graphs and complexity, computational game theory, visual cryptography and computational geometry, query complexity, distributed systems, automata and formal languages, semantics, approximation algorithms, average case complexity, algorithms, graph algorithms, and pattern matching.
Fundamentals of Artificial Intelligence
Fundamentals of Artificial Intelligence introduces the foundations of present day AI and provides coverage to recent developments in AI such as Constraint Satisfaction Problems, Adversarial Search and Game Theory, Statistical Learning Theory, Automated Planning, Intelligent Agents, Information Retrieval, Natural Language & Speech Processing, and Machine Vision. The book features a wealth of examples and illustrations, and practical approaches along with the theoretical concepts. It covers all major areas of AI in the domain of recent developments. The book is intended primarily for students who major in computer science at undergraduate and graduate level but will also be of interest as a foundation to researchers in the area of AI.
Fundamentals of airplane flight mechanics
Airplane flight mechanics is the application of Newton's laws to the study of airplane trajectories (performance), stability, and aerodynamic control. This text is limited to flight in a vertical plane and is divided into two parts. The first part, trajectory analysis, is concerned primarily with the derivation of analytical solutions of trajectory problems associated with the sizing of commercial jets, that is, take-off, climb, cruise, descent, and landing, including trajectory optimization. The second part, stability and control, is further classified as static or dynamic. On each iteration of airplane sizing, the center of gravity is placed so that the airplane is statically stable. Dynamic stability and control is included to study the response of an airplane to control and gust inputs, which is needed for the design of automatic flight control systems. Algorithms are presented for estimating lift, drag, pitching moment, and stability derivatives.
Fundamentals and Methods of Machine and Deep Learning : Algorithms, Tools, and Applications
provides a practical approach by explaining the concepts of machine learning and deep learning algorithms, evaluation of methodology advances, and algorithm demonstrations with applications. In recent research studies, they are regarded as one of the disruptive technologies that will transform our future life, business, and the global economy. The recent explosion of digital data in a wide variety of domains, including science, engineering, Internet of Things, biomedical, healthcare, and many business sectors, has declared the era of big data, which cannot be analysed by classical statistics but by the more modern, robust machine learning and deep learning techniques. Since machine learning learns from data rather than by programming hard-coded decision rules, an attempt is being made to use machine learning to make computers that are able to solve problems like human experts in the field.
Fundamental Numerical Methods for Electrical Engineering
The book presents fundamental numerical methods which are most frequently applied in the electrical (electronic) engineering. All methods discussed are illustrated with real-world examples of applications. It is shown how real engineering questions can be transformed into the corresponding mathematical problems and next effectively solved by using appropriate numerical methods.
Fundamental approaches to software engineering ; Vol. 3922 ; 9th International Conference, FASE 2006, Held as Part of the Joint European Conferences on Theory and Practice of Software, ETAPS 2006, Vienna, Austria, March 27-28, 2006, Proceedings
ETAPS 2006 was the ninth instance of the European Joint Conferences on Theory and Practice of Software. ETAPS is an annual federated conference that was established in 1998 by combining a number of existing and new conferences. The events that comprise ETAPS address various aspects of the system devel- ment process, including speci?cation, design, implementation, analysis and impro- ment. The languages, methodologies and tools which support these activities are all well within its scope. Di?erent blends of theory and practice are represented, with an inclination towards theory with a practical motivation on the one hand and soundly based practice on the other. Many of the issues involved in software design apply to systems in general, including hardware systems, and the emphasis on software is not intended to be exclusive.
Functional verification coverage measurement and analysis
Functional Verification Coverage Measurement and Analysis addresses a means of quantitatively assessing functional verification progress. Without this process, design and verification engineers, and their management, are left guessing whether or not they have completed verifying the device they are designing. Using the techniques described in this book, they will learn how to build a toolset which allows them to know how close they are to functional closure.
FSTTCS 2007 : Foundations of software technology and theoretical computer science; 27th International Conference, New Delhi, India, December 12-14, 2007, Proceedings
This book constitutes the refereed proceedings of the 27th International Conference on the Foundations of Software Technology and Theoretical Computer Science, FSTTCS 2007. The papers provide original research results in fundamental aspects of computer science as well as reports from the frontline of software technology and theoretical computer science.
FSTTCS 2006 : Foundations of software technology and theoretical computer science ; 26th International Conference, Kolkata, India, December 13-15, 2006, Proceed
This book constitutes the refereed proceedings of the 26th International Conference on the Foundations of Software Technology and Theoretical Computer Science, FSTTCS 2006, held in Kolkata, India, in December 2006. It contains 38 papers that cover a broad variety of current topics from the theory of computing, ranging from formal methods, discrete mathematics, complexity theory, and automata theory to theoretical computer science in general.
FSTTCS 2005 : Foundations of software technology and theoretical computer science ; 25th International conference, Hyderabad, India, December 15-18, 2005, Proceedings
This year marks a milestone in the history of FST&TCS, which ?rst took place in 1981. We would like to take this opportunity to express our appreciation of the foresight and commitment to excellence shown by the early organizersof the conference. The conference is now organized by IARCS (Indian Association for Researchin Computing Science), and the conference has been the foundation on which the IARCS community has been built. To commemorate the Silver Jubilee of FST&TCS.
FSTTCS 2004 : Foundations of software technology and theoretical computer science ; 24th International Conference, Chennai, India, December 16-18, 2004, Proceedings
The international conference on the Foundations of Software Technology and Theoretical Computer Science (FSTTCS) is the longest-running conference on computer science in India, and is organized under the aegis of the Indian As- ciation for Research in Computing Science, IARCS. Since its inception in 1981, the conference (held annually in the month of December) has helped in nurt- ing and creating an environment for the exchange of ideas amongst the research community in the country, by attracting top scientists around the world to the conference. This volume contains the proceedings of the 24th FSTTCS conf- ence held in December 2004. A strong point of the FSTTCS programmes has been excellent invited talks by eminent computer scientists of international renown.
Frontiers of Combining Systems ; 6th International Symposium, FroCoS 2007, Liverpool, UK, September 10-12, 2007. Proceedings
This book constitutes the refereed proceedings of the 6th International Symposium on Frontiers of Combining Systems, FroCoS 2007, held in Liverpool, UK, September 2007. combination issues in rewriting and programming as well as in logical frameworks and theorem proving systems.
Frontiers of combining systems ; 5th International Workshop, FroCoS 2005, Vienna, Austria, September 19-21, 2005, Proceedings
Constitutes the refereed proceedings of the 5th International Workshop on Frontiers of Combining Systems, FroCoS 2005, held in Vienna, Austria. This book includes 19 full papers that are organized in topical sections on combinations of logics, theories, and decision procedures; constraint solving and programming; and others.
From Data to Models and Back ; 9th International Symposium, DataMod 2020, Virtual Event, October 20, 2020, Revised Selected Papers
This book constitutes the refereed proceedings of the 9th International Symposium on From Data Models and Back, DataMod 2020, held virtually, in October 2020. The 11 full papers and 3 short papers presented in this book were selected from 19 submissions. The papers are grouped in these topical sections: machine learning; simulation-based approaches, and data mining and processing related approaches.
