Extension des modèles de prédiction de la qualité du logiciel en utilisant la logique floue et les heuristiques du domaine PDF Download
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Author: Mohamed Adel Serhani
Publisher:
ISBN:
Category :
Languages : fr
Pages : 206
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Book Description
Author: Mohamed Adel Serhani
Publisher:
ISBN:
Category :
Languages : fr
Pages : 206
Get Book Here
Book Description
![Extension des modèles de prédiction de la qualité du logiciel en utilisant la logique floue et les heuristiques du domaine [microforme] PDF](https://books.google.com/books/content/images/frontcover/kebZMwEACAAJ?fife=w80-h100)
Author: Mohamed Adel Serhani
Publisher: Montréal : Service des archives, Université de Montréal, Section Microfilm
ISBN:
Category :
Languages : fr
Pages : 206
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Book Description
Author:
Publisher:
ISBN:
Category : Dissertations, Academic
Languages : en
Pages : 412
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Book Description
"Education, arts and social sciences, natural and technical sciences in the United States and Canada".
Author: Sergios Theodoridis
Publisher: Academic Press
ISBN: 0080922759
Category : Computers
Languages : en
Pages : 233
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Book Description
Introduction to Pattern Recognition: A Matlab Approach is an accompanying manual to Theodoridis/Koutroumbas' Pattern Recognition. It includes Matlab code of the most common methods and algorithms in the book, together with a descriptive summary and solved examples, and including real-life data sets in imaging and audio recognition. This text is designed for electronic engineering, computer science, computer engineering, biomedical engineering and applied mathematics students taking graduate courses on pattern recognition and machine learning as well as R&D engineers and university researchers in image and signal processing/analyisis, and computer vision. - Matlab code and descriptive summary of the most common methods and algorithms in Theodoridis/Koutroumbas, Pattern Recognition, Fourth Edition - Solved examples in Matlab, including real-life data sets in imaging and audio recognition - Available separately or at a special package price with the main text (ISBN for package: 978-0-12-374491-3)
Author: Neural Information Processing Systems Foundation
Publisher: MIT Press
ISBN: 0262026171
Category : Algorithms
Languages : en
Pages : 361
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Book Description
State-of-the-art algorithms and theory in a novel domain of machine learning, prediction when the output has structure.
Author: Martin Lindstrom
Publisher: Currency
ISBN: 0385523890
Category : Business & Economics
Languages : en
Pages : 274
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Book Description
NEW YORK TIMES BESTSELLER • “A fascinating look at how consumers perceive logos, ads, commercials, brands, and products.”—Time How much do we know about why we buy? What truly influences our decisions in today’s message-cluttered world? In Buyology, Martin Lindstrom presents the astonishing findings from his groundbreaking three-year, seven-million-dollar neuromarketing study—a cutting-edge experiment that peered inside the brains of 2,000 volunteers from all around the world as they encountered various ads, logos, commercials, brands, and products. His startling results shatter much of what we have long believed about what captures our interest—and drives us to buy. Among the questions he explores: • Does sex actually sell? • Does subliminal advertising still surround us? • Can “cool” brands trigger our mating instincts? • Can our other senses—smell, touch, and sound—be aroused when we see a product? Buyology is a fascinating and shocking journey into the mind of today's consumer that will captivate anyone who's been seduced—or turned off—by marketers' relentless attempts to win our loyalty, our money, and our minds.
Author: Gérard Cliquet
Publisher: John Wiley & Sons
ISBN: 1118614143
Category : Business & Economics
Languages : en
Pages : 236
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Book Description
This title describes the state of the art in all areas of spatial marketing, discussing the various constituents which make up the geography of markets. Demand varies according to location and can be measured according to revenue, the number of households, spending patterns and lifestyles. Supply is also dependent on position, because prices, services, products and available shops rely on location, while the difference between supply and demand is the rationale for the role of the trader. The book also covers the way geographic techniques help to solve marketing problems and contains chapters written by contributors with extensive experience in this field; given that it is crucial for companies to direct their marketing correctly at their target audience, this will be indispensable reading for those involved in this area.
Author: Michael J. Kearns
Publisher: MIT Press
ISBN: 9780262111935
Category : Computers
Languages : en
Pages : 230
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Book Description
Emphasizing issues of computational efficiency, Michael Kearns and Umesh Vazirani introduce a number of central topics in computational learning theory for researchers and students in artificial intelligence, neural networks, theoretical computer science, and statistics. Emphasizing issues of computational efficiency, Michael Kearns and Umesh Vazirani introduce a number of central topics in computational learning theory for researchers and students in artificial intelligence, neural networks, theoretical computer science, and statistics. Computational learning theory is a new and rapidly expanding area of research that examines formal models of induction with the goals of discovering the common methods underlying efficient learning algorithms and identifying the computational impediments to learning. Each topic in the book has been chosen to elucidate a general principle, which is explored in a precise formal setting. Intuition has been emphasized in the presentation to make the material accessible to the nontheoretician while still providing precise arguments for the specialist. This balance is the result of new proofs of established theorems, and new presentations of the standard proofs. The topics covered include the motivation, definitions, and fundamental results, both positive and negative, for the widely studied L. G. Valiant model of Probably Approximately Correct Learning; Occam's Razor, which formalizes a relationship between learning and data compression; the Vapnik-Chervonenkis dimension; the equivalence of weak and strong learning; efficient learning in the presence of noise by the method of statistical queries; relationships between learning and cryptography, and the resulting computational limitations on efficient learning; reducibility between learning problems; and algorithms for learning finite automata from active experimentation.
Author: Yadolah Dodge
Publisher: Birkhäuser
ISBN: 3034882017
Category : Mathematics
Languages : en
Pages : 447
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Book Description
This volume contains a selection of invited papers, presented to the fourth International Conference on Statistical Data Analysis Based on the L1-Norm and Related Methods, held in Neuchâtel, Switzerland, from August 4–9, 2002. The contributions represent clear evidence to the importance of the development of theory, methods and applications related to the statistical data analysis based on the L1-norm.
Author: Vladimir Vapnik
Publisher: Springer Science & Business Media
ISBN: 1475732643
Category : Mathematics
Languages : en
Pages : 324
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Book Description
The aim of this book is to discuss the fundamental ideas which lie behind the statistical theory of learning and generalization. It considers learning as a general problem of function estimation based on empirical data. Omitting proofs and technical details, the author concentrates on discussing the main results of learning theory and their connections to fundamental problems in statistics. This second edition contains three new chapters devoted to further development of the learning theory and SVM techniques. Written in a readable and concise style, the book is intended for statisticians, mathematicians, physicists, and computer scientists.
