Proceedings of Southeastern Library Association 4Th-?0th Biennial Conference PDF Download

Author: Southeastern Library Association
Publisher:
ISBN:
Category :
Languages : en
Pages : 128

View

Book Description

Author: René Teygeler
Publisher:
ISBN: 9789074920148
Category : Archival materials
Languages : en
Pages : 328

View

Book Description

Author: Jure Leskovec
Publisher: Cambridge University Press
ISBN: 1107077230
Category : Computers
Languages : en
Pages : 480

View

Book Description
Now in its second edition, this book focuses on practical algorithms for mining data from even the largest datasets.

Author: National Research Council
Publisher: National Academies Press
ISBN: 0309048923
Category : Technology & Engineering
Languages : en
Pages : 174

View

Book Description
This classic reference for poultry nutrition has been updated for the first time since 1984. The chapter on general considerations concerning individual nutrients and water has been greatly expanded and includes, for the first time, equations for predicting the energy value of individual feed ingredients from their proximate composition. This volume includes the latest information on the nutrient requirements of meat- and egg-type chickens, incorporating data on brown-egg strains, turkeys, geese, ducks, pheasants, Japanese quail, and Bobwhite quail. This publication also contains new appendix tables that document in detail the scientific information used to derive the nutrient requirements appearing in the summary tables for each species of bird.

Author: Southeastern Library Association. Biennial Conference
Publisher:
ISBN:
Category : Libraries
Languages : en
Pages : 622

View

Book Description

Author:
Publisher:
ISBN:
Category : Electronic books
Languages : en
Pages : 402

View

Book Description
"Southern forests provide innumerable benefits. Forest scientists, managers, owners, and users have in common the desire to improve the condition of these forests and the ecosystems they support. A first step is to understand the contributions science has made and continues to make to the care and management of forests. This book represents a celebration of past accomplishments, summarizes the current state of knowledge, and creates a vision for the future of southern forestry research and management. Chapters are organized into seven sections: "Looking Back," "Productivity," "Forest Health," "Water and Soils," "Socioeconomic," "Biodiversity," and "Climate Change." Each section is preceded by a brief introductory chapter. Authors were encouraged to focus on the most important aspects of their topics; citations are included to guide readers to further information."

Author: Mohammad Shorif Uddin
Publisher: Springer Nature
ISBN: 9811605866
Category : Technology & Engineering
Languages : en
Pages : 551

View

Book Description
This book gathers outstanding research papers presented at the International Joint Conference on Advances in Computational Intelligence (IJCACI 2020), organized by Daffodil International University (DIU) and Jahangirnagar University (JU) in Bangladesh and South Asian University (SAU) in India. These proceedings present novel contributions in the areas of computational intelligence and offer valuable reference material for advanced research. The topics covered include collective intelligence, soft computing, optimization, cloud computing, machine learning, intelligent software, robotics, data science, data security, big data analytics, and signal and natural language processing.

Author: Harold Scofield Betts
Publisher:
ISBN:
Category : Longleaf pine
Languages : en
Pages : 16

View

Book Description

Author: Paul R. Niven
Publisher: John Wiley & Sons
ISBN: 0471269166
Category : Business & Economics
Languages : en
Pages : 354

View

Book Description
This book explains how an organization can measure and manage performance with the Balanced Scorecard methodology. It provides extensive background on performance management and the Balanced Scorecard, and focuses on guiding a team through the step-by-step development and ongoing implementation of a Balanced Scorecard system. Corporations, public sector agencies, and not for profit organizations have all reaped success from the Balanced Scorecard. This book supplies detailed implementation advice that is readily applied to any and all of these organization types. Additionally, it will benefit organizations at any stage of Balanced Scorecard development. Regardless of whether you are just contemplating a Balanced Scorecard, require assistance in linking their current Scorecard to management processes, or need a review of their past measurement efforts, Balanced Scorecard Step by Step provides detailed advice and proven solutions.

Author: Carl Edward Rasmussen
Publisher: MIT Press
ISBN: 026218253X
Category : Computers
Languages : en
Pages : 266

View

Book Description
A comprehensive and self-contained introduction to Gaussian processes, which provide a principled, practical, probabilistic approach to learning in kernel machines. Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning community over the past decade, and this book provides a long-needed systematic and unified treatment of theoretical and practical aspects of GPs in machine learning. The treatment is comprehensive and self-contained, targeted at researchers and students in machine learning and applied statistics. The book deals with the supervised-learning problem for both regression and classification, and includes detailed algorithms. A wide variety of covariance (kernel) functions are presented and their properties discussed. Model selection is discussed both from a Bayesian and a classical perspective. Many connections to other well-known techniques from machine learning and statistics are discussed, including support-vector machines, neural networks, splines, regularization networks, relevance vector machines and others. Theoretical issues including learning curves and the PAC-Bayesian framework are treated, and several approximation methods for learning with large datasets are discussed. The book contains illustrative examples and exercises, and code and datasets are available on the Web. Appendixes provide mathematical background and a discussion of Gaussian Markov processes.