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Author: Detroit (Mich.). Board of Education
Publisher:
ISBN:
Category : Public schools
Languages : en
Pages : 588
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Book Description
Contains proceedings of annual, regular and special meetings.
Author: Detroit (Mich.). Board of Education
Publisher:
ISBN:
Category : Public schools
Languages : en
Pages : 588
Get Book Here
Book Description
Contains proceedings of annual, regular and special meetings.
Author:
Publisher:
ISBN:
Category : Education
Languages : en
Pages : 1204
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Book Description
Author: Maria Teresa Escrig Monferrer
Publisher: Springer
ISBN: 3540360794
Category : Computers
Languages : en
Pages : 443
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Book Description
This book constitutes the refereed proceedings of the 5th Catalonian Conference on Artificial Intelligence, CCIA 2002, held in Castellón, Spain in October 2002. The 37 revised full papers presented were carefully reviewed and selected from 77 submissions. The papers are organized in topical sections on reasoning models, constraint satisfation, machine learning and classification, multi-agent systems, and computer vision and robotics.
Author: Huan Liu
Publisher: Springer Science & Business Media
ISBN: 1461557259
Category : Computers
Languages : en
Pages : 418
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Book Description
There is broad interest in feature extraction, construction, and selection among practitioners from statistics, pattern recognition, and data mining to machine learning. Data preprocessing is an essential step in the knowledge discovery process for real-world applications. This book compiles contributions from many leading and active researchers in this growing field and paints a picture of the state-of-art techniques that can boost the capabilities of many existing data mining tools. The objective of this collection is to increase the awareness of the data mining community about the research of feature extraction, construction and selection, which are currently conducted mainly in isolation. This book is part of our endeavor to produce a contemporary overview of modern solutions, to create synergy among these seemingly different branches, and to pave the way for developing meta-systems and novel approaches. Even with today's advanced computer technologies, discovering knowledge from data can still be fiendishly hard due to the characteristics of the computer generated data. Feature extraction, construction and selection are a set of techniques that transform and simplify data so as to make data mining tasks easier. Feature construction and selection can be viewed as two sides of the representation problem.
Author: Hector Munoz-Avila
Publisher: Springer Science & Business Media
ISBN: 3540281746
Category : Business & Economics
Languages : en
Pages : 667
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Book Description
This book constitutes the refereed proceedings of the 6th International Conference on Case-Based Reasoning, ICCBR 2005, held in Chicago, IL, USA, in August 2005. The 19 revised full research papers and 26 revised poster papers presented together with the abstracts of 3 invited talks were carefully reviewed and selected from 74 submissions. The papers address all current foundational, theoretical and research aspects of case-based reasoning as well as advanced applications either with innovative commercial deployment or practical, social, environmental or economic significance.
Author: Robert Dochow
Publisher: Springer
ISBN: 365813528X
Category : Business & Economics
Languages : en
Pages : 207
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Book Description
Robert Dochow mathematically derives a simplified classification structure of selected types of the portfolio selection problem. He proposes two new competitive online algorithms with risk management, which he evaluates analytically. The author empirically evaluates online algorithms by a comprehensive statistical analysis. Concrete results are that follow-the-loser algorithms show the most promising performance when the objective is the maximization of return on investment and risk-adjusted performance. In addition, when the objective is the minimization of risk, the two new algorithms with risk management show excellent performance. A prototype of a software tool for automated evaluation of algorithms for portfolio selection is given.
Author:
Publisher:
ISBN:
Category : Education
Languages : en
Pages : 734
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Book Description
Author:
Publisher:
ISBN:
Category : Education
Languages : en
Pages : 614
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Book Description
Author: Detroit (Mich.). Board of Education
Publisher:
ISBN:
Category : Public schools
Languages : en
Pages : 332
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Book Description
Author: Osvaldo Simeone
Publisher: Cambridge University Press
ISBN: 1009080024
Category : Technology & Engineering
Languages : en
Pages : 602
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Book Description
This self-contained introduction to machine learning, designed from the start with engineers in mind, will equip students with everything they need to start applying machine learning principles and algorithms to real-world engineering problems. With a consistent emphasis on the connections between estimation, detection, information theory, and optimization, it includes: an accessible overview of the relationships between machine learning and signal processing, providing a solid foundation for further study; clear explanations of the differences between state-of-the-art techniques and more classical methods, equipping students with all the understanding they need to make informed technique choices; demonstration of the links between information-theoretical concepts and their practical engineering relevance; reproducible examples using Matlab, enabling hands-on student experimentation. Assuming only a basic understanding of probability and linear algebra, and accompanied by lecture slides and solutions for instructors, this is the ideal introduction to machine learning for engineering students of all disciplines.
