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Author: United States Board on Geographical Names
Publisher:
ISBN:
Category : Geography
Languages : en
Pages : 534
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Book Description
Author: United States Board on Geographical Names
Publisher:
ISBN:
Category : Geography
Languages : en
Pages : 534
Get Book Here
Book Description
Author: United States Board on Geographic Names
Publisher:
ISBN:
Category : Geography
Languages : en
Pages : 700
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Book Description
Author: United States Board on Geographic Names
Publisher:
ISBN:
Category : Names, Geographical
Languages : en
Pages : 30
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Book Description
Author: Christoph Molnar
Publisher: Lulu.com
ISBN: 0244768528
Category : Computers
Languages : en
Pages : 320
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Book Description
This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simple, interpretable models such as decision trees, decision rules and linear regression. Later chapters focus on general model-agnostic methods for interpreting black box models like feature importance and accumulated local effects and explaining individual predictions with Shapley values and LIME. All interpretation methods are explained in depth and discussed critically. How do they work under the hood? What are their strengths and weaknesses? How can their outputs be interpreted? This book will enable you to select and correctly apply the interpretation method that is most suitable for your machine learning project.
Author: Yves Crama
Publisher: Cambridge University Press
ISBN: 0521847524
Category : Computers
Languages : en
Pages : 781
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Book Description
A collection of papers written by prominent experts that examine a variety of advanced topics related to Boolean functions and expressions.
Author: Thanaruk Theeramunkong
Publisher: Springer Science & Business Media
ISBN: 3642013066
Category : Computers
Languages : en
Pages : 1098
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Book Description
This book constitutes the refereed proceedings of the 13th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2009, held in Bangkok, Thailand, in April 2009. The 39 revised full papers and 73 revised short papers presented together with 3 keynote talks were carefully reviewed and selected from 338 submissions. The papers present new ideas, original research results, and practical development experiences from all KDD-related areas including data mining, data warehousing, machine learning, databases, statistics, knowledge acquisition, automatic scientific discovery, data visualization, causal induction, and knowledge-based systems.
Author: Shai Ben-David
Publisher: Springer Science & Business Media
ISBN: 9783540626855
Category : Computers
Languages : en
Pages : 350
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Book Description
Content Description #Includes bibliographical references and index.
Author: Oded Z. Maimon
Publisher: Springer Science & Business Media
ISBN: 9780387244358
Category : Computers
Languages : en
Pages : 1436
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Book Description
Organizes major concepts, theories, methodologies, trends, challenges and applications of data mining (DM) and knowledge discovery in databases (KDD). This book provides algorithmic descriptions of classic methods, and also suitable for professionals in fields such as computing applications, information systems management, and more.
Author: Martin Anthony
Publisher: SIAM
ISBN: 089871480X
Category : Computers
Languages : en
Pages : 137
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Book Description
This concise, readable book provides a sampling of the very large, active, and expanding field of artificial neural network theory. It considers select areas of discrete mathematics linking combinatorics and the theory of the simplest types of artificial neural networks. Neural networks have emerged as a key technology in many fields of application, and an understanding of the theories concerning what such systems can and cannot do is essential. Some classical results are presented with accessible proofs, together with some more recent perspectives, such as those obtained by considering decision lists. In addition, probabilistic models of neural network learning are discussed. Graph theory, some partially ordered set theory, computational complexity, and discrete probability are among the mathematical topics involved. Pointers to further reading and an extensive bibliography make this book a good starting point for research in discrete mathematics and neural networks.
Author: Paul Vitanyi
Publisher: Springer Science & Business Media
ISBN: 9783540591191
Category : Computers
Languages : en
Pages : 442
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Book Description
This volume presents the proceedings of the Second European Conference on Computational Learning Theory (EuroCOLT '95), held in Barcelona, Spain in March 1995. The book contains full versions of the 28 papers accepted for presentation at the conference as well as three invited papers. All relevant topics in fundamental studies of computational aspects of artificial and natural learning systems and machine learning are covered; in particular artificial and biological neural networks, genetic and evolutionary algorithms, robotics, pattern recognition, inductive logic programming, decision theory, Bayesian/MDL estimation, statistical physics, and cryptography are addressed.
