Author: Sungill KimPublisher:
ISBN:
Category :
Languages : en
Pages : 278
Book Description
Frog-in-the-box Codes and Robust Quantization
Author: Sungill KimOptimal Redundant Index Assignment for Robust Vector Quantization
Author: Ilju NaDissertation Abstracts International
Author: Publisher:
ISBN:
Category : Dissertations, Academic
Languages : en
Pages : 896
Book Description
2004 IEEE International Symposium on Information Theory : Proceedings : Chicago Downtown Marriott, Chicago, Illinois, USA, June 27-July 2, 2004
Author: 2001 IEEE International Symposium on Information Theory
Author: Autonomous Horizons
Author: Greg ZachariasPublisher: Independently Published
ISBN: 9781092834346
Category :
Languages : en
Pages : 420
Book Description
Dr. Greg Zacharias, former Chief Scientist of the United States Air Force (2015-18), explores next steps in autonomous systems (AS) development, fielding, and training. Rapid advances in AS development and artificial intelligence (AI) research will change how we think about machines, whether they are individual vehicle platforms or networked enterprises. The payoff will be considerable, affording the US military significant protection for aviators, greater effectiveness in employment, and unlimited opportunities for novel and disruptive concepts of operations. Autonomous Horizons: The Way Forward identifies issues and makes recommendations for the Air Force to take full advantage of this transformational technology.
American Doctoral Dissertations
Author: Publisher:
ISBN:
Category : Dissertation abstracts
Languages : en
Pages : 776
Book Description
Introduction to Information Retrieval
Author: Christopher D. ManningPublisher: Cambridge University Press
ISBN: 1139472100
Category : Computers
Languages : en
Pages :
Book Description
Class-tested and coherent, this textbook teaches classical and web information retrieval, including web search and the related areas of text classification and text clustering from basic concepts. It gives an up-to-date treatment of all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the use of machine learning methods on text collections. All the important ideas are explained using examples and figures, making it perfect for introductory courses in information retrieval for advanced undergraduates and graduate students in computer science. Based on feedback from extensive classroom experience, the book has been carefully structured in order to make teaching more natural and effective. Slides and additional exercises (with solutions for lecturers) are also available through the book's supporting website to help course instructors prepare their lectures.
The Lion Way
Author: Roberto BattitiPublisher: Createspace Independent Publishing Platform
ISBN: 9781496034021
Category : Artificial intelligence
Languages : en
Pages : 0
Book Description
Learning and Intelligent Optimization (LION) is the combination of learning from data and optimization applied to solve complex and dynamic problems. The LION way is about increasing the automation level and connecting data directly to decisions and actions. More power is directly in the hands of decision makers in a self-service manner, without resorting to intermediate layers of data scientists. LION is a complex array of mechanisms, like the engine in an automobile, but the user (driver) does not need to know the inner workings of the engine in order to realize its tremendous benefits. LION's adoption will create a prairie fire of innovation which will reach most businesses in the next decades. Businesses, like plants in wildfire-prone ecosystems, will survive and prosper by adapting and embracing LION techniques, or they risk being transformed from giant trees to ashes by the spreading competition.
Genetic Algorithms in Search, Optimization, and Machine Learning
Author: David Edward GoldbergPublisher: Addison-Wesley Professional
ISBN:
Category : Computers
Languages : en
Pages : 436
Book Description
A gentle introduction to genetic algorithms. Genetic algorithms revisited: mathematical foundations. Computer implementation of a genetic algorithm. Some applications of genetic algorithms. Advanced operators and techniques in genetic search. Introduction to genetics-based machine learning. Applications of genetics-based machine learning. A look back, a glance ahead. A review of combinatorics and elementary probability. Pascal with random number generation for fortran, basic, and cobol programmers. A simple genetic algorithm (SGA) in pascal. A simple classifier system(SCS) in pascal. Partition coefficient transforms for problem-coding analysis.