Common Lisp Recipes

A Problem-Solution Approach


Author: Edmund Weitz

Publisher: Apress

ISBN: 1484211766

Category: Computers

Page: 744

View: 7234

Find solutions to problems and answers to questions you are likely to encounter when writing real-world applications in Common Lisp. This book covers areas as diverse as web programming, databases, graphical user interfaces, integration with other programming languages, multi-threading, and mobile devices as well as debugging techniques and optimization, to name just a few. Written by an author who has used Common Lisp in many successful commercial projects over more than a decade, Common Lisp Recipes is also the first Common Lisp book to tackle such advanced topics as environment access, logical pathnames, Gray streams, delivery of executables, pretty printing, setf expansions, or changing the syntax of Common Lisp. The book is organized around specific problems or questions each followed by ready-to-use example solutions and clear explanations of the concepts involved, plus pointers to alternatives and more information. Each recipe can be read independently of the others and thus the book will earn a special place on your bookshelf as a reference work you always want to have within reach. Common Lisp Recipes is aimed at programmers who are already familiar with Common Lisp to a certain extent but do not yet have the experience you typically only get from years of hacking in a specific computer language. It is written in a style that mixes hands-on no-frills pragmatism with precise information and prudent mentorship. If you feel attracted to Common Lisp's mix of breathtaking features and down-to-earth utilitarianism, you'll also like this book.

MATLAB Machine Learning Recipes

A Problem-Solution Approach


Author: Michael Paluszek,Stephanie Thomas

Publisher: Apress

ISBN: 1484239164

Category: Computers

Page: 347

View: 7717

Harness the power of MATLAB to resolve a wide range of machine learning challenges. This book provides a series of examples of technologies critical to machine learning. Each example solves a real-world problem. All code in MATLAB Machine Learning Recipes: A Problem-Solution Approach is executable. The toolbox that the code uses provides a complete set of functions needed to implement all aspects of machine learning. Authors Michael Paluszek and Stephanie Thomas show how all of these technologies allow the reader to build sophisticated applications to solve problems with pattern recognition, autonomous driving, expert systems, and much more. What you'll learn: How to write code for machine learning, adaptive control and estimation using MATLAB How these three areas complement each other How these three areas are needed for robust machine learning applications How to use MATLAB graphics and visualization tools for machine learning How to code real world examples in MATLAB for major applications of machine learning in big data Who is this book for: The primary audiences are engineers, data scientists and students wanting a comprehensive and code cookbook rich in examples on machine learning using MATLAB.

Artificial Intelligence with Common Lisp

Fundamentals of Symbolic and Numeric Processing


Author: James L. Noyes

Publisher: Jones & Bartlett Learning

ISBN: 9780669194739

Category: Computers

Page: 542

View: 4973

Computer Science

Solving Geometric Constraint Systems

A Case Study in Kinematics


Author: Glenn A. Kramer

Publisher: MIT Press

ISBN: 9780262111645

Category: Computers

Page: 277

View: 4398

Solving Geometric Constraints records and explains the formal basis for graphical analysis techniques that have been used for decades in engineering disciplines. It describes a novel computer implementation of a 3D graphical analysis method - degrees of freedom analysis - for solving geometric constraint problems of the type encountered in the kinematic analysis of mechanical linkages, providing the best computational bounds yet achieved for this class of problems. The technique allows for the design of algorithms that provide significant speed increases and. will foster the development of interactive software tools for the simulation, optimization, and design of complex mechanical devices as well as provide leverage in other geometric domains. Kramer formalizes symbolic geometry, including explicit reasoning about degrees of freedom, as an alternative to symbolic algebraic or iterative numerical techniques for solving geometric constraint satisfaction problems. He discusses both the theoretical and practical advantages of degrees of freedom analysis, including a correctness proof of the procedure, and clearly defines its scope. He covers all nondegenerate cases and handles several classes of degeneracy, giving examples that are practical and of representative complexity.

Innovative Methods, User-Friendly Tools, Coding, and Design Approaches in People-Oriented Programming


Author: Goschnick, Steve

Publisher: IGI Global

ISBN: 1522559701

Category: Computers

Page: 488

View: 2110

As modern technologies continue to develop and evolve, the ability of users to interface with new systems becomes a paramount concern. Research into new ways for humans to make use of advanced computers and other such technologies is necessary to fully realize the potential of twenty-first-century tools. Innovative Methods, User-Friendly Tools, Coding, and Design Approaches in People-Oriented Programming is a critical scholarly resource that examines development and customization user interfaces for advanced technologies and how these interfaces can facilitate new developments in various fields. Featuring coverage on a broad range of topics such as role-based modeling, end-user composition, and wearable computing, this book is a vital reference source for programmers, developers, students, and educators seeking current research on the enhancement of user-centric information system development.



Author: American Association for Artificial Intelligence

Publisher: Aaai Press


Category: Computers

Page: 1147

View: 390

Topics covered include: Automated reasoning; Cognitive modeling; Commonsense reasoning; Education and AI; Intelligent interfaces; Knowledge acquisition; Knowledge representation; Machine learning; Natural language; Robotics; Vision; Panel discussions on AI and software engineering; User modeling and user interfaces.

Physics Briefs

Physikalische Berichte


Author: N.A

Publisher: N.A


Category: Physics

Page: N.A

View: 857

Proceedings of the 11th Knowledge-based Software Engineering Conference

September 25-28, 1996, Syracuse, New York


Author: IEEE Computer Society

Publisher: IEEE Computer Society


Category: Computers

Page: 155

View: 5610

Presents papers from the September 1996 conference discussing the application of automated reasoning, knowledge representation, and other artificial intelligence techniques to software engineering problems, with emphasis on constructing and working with software artifacts and processes using knowledge-based techniques. Coverage includes synthesis, verification and validation, knowledge-based environments, and reverse engineering, with papers on areas including applying plan recognition algorithms to program understanding, and synthesis of local search algorithms by algebraic means. No index. Annotation copyrighted by Book News, Inc., Portland, OR.