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Neighbour Procedure

Author: Rachel Zolf

Publisher: Coach House Books

Published: 2010-02-22

Total Pages: 90

ISBN-13: 1770562672

A virtuoso polyvocal correspondence with the daily news, ancient scripture and contemporary theory that puts the ongoing conflict in Israel/Palestine firmly in the crosshairs, Neighbour Procedure sees Zolf assemble an arsenal of poetic procedures and words borrowed from a cast of unlikely neighbours, including Mark Twain, Dadaist Marcel Janco, blogger-poet Ron Silliman and two women at the gym.

Lectures on the Nearest Neighbor Method

Author: Gérard Biau

Publisher: Springer

Published: 2015-12-08

Total Pages: 290

ISBN-13: 3319253883

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This text presents a wide-ranging and rigorous overview of nearest neighbor methods, one of the most important paradigms in machine learning. Now in one self-contained volume, this book systematically covers key statistical, probabilistic, combinatorial and geometric ideas for understanding, analyzing and developing nearest neighbor methods. Gérard Biau is a professor at Université Pierre et Marie Curie (Paris). Luc Devroye is a professor at the School of Computer Science at McGill University (Montreal).

Advances in Data Science and Classification

Author: Alfredo Rizzi

Publisher: Springer Science & Business Media

Published: 2013-03-08

Total Pages: 678

ISBN-13: 3642722539

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International Federation of Classification Societies The International Federation of Classification Societies (lFCS) is an agency for the dissemination of technical and scientific information concerning classification and multivariate data analysis in the broad sense and in as wide a range of applications as possible; founded in 1985 in Cambridge (UK) by the following Scientific Societies and Groups: - British Classification Society - BCS - Classification Society of North America - CSNA - Gesellschaft fUr Klassification - GfKI - Japanese Classification Society - JCS - Classification Group ofItalian Statistical Society - CGSIS - Societe Francophone de Classification - SFC Now the IFCS includes also the following Societies: - Dutch-Belgian Classification Society - VOC - Polish Classification Section - SKAD - Portuguese Classification Association - CLAD - Group at Large - Korean Classification Society - KCS IFCS-98, the Sixth Conference of the International Federation of Classification Societies, was held in Rome, from July 21 to 24, 1998. Five preceding conferences were held in Aachen (Germany), Charlottesville (USA), Edinburgh (UK), Paris (France), Kobe (Japan).

Neighbour Procedure

Author: Rachel Zolf

Publisher: Coach House Books

Published: 2010-02-22

Total Pages: 90

ISBN-13: 1552452298

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Winner of the 2008 Trillium Book Award for Poetry Write for buyers. Write for bosses. Think hyper. Think branding. Tell your visitor where to go. Poetry and 'plain language' collide in the writing machine that is Human Resources . Here at the intersection of creation and repackaging, we experience the visceral and psychic cost of selling things with depleted words. Pilfered rhetorics fed into the machine are spit out as bungled associations among money, shit, culture, work and communication. With the help of online engines that numericize language, Human Resources explores writing as a process of encryption. Deeply inflected by the polyvocality and encoded rhetorics of the screen, Human Resources is perched at the limits of language, irreverently making and breaking meaning. Navigating the crumbling boundaries among page, screen, reader, engine, writer and database, Human Resources investigates wasting words and words as waste - and the creative potential of salvage. 'In this bad-mouthing and incandescent burlesque, Rachel Zolf transforms a necessary social anger into the pure fuel that takes us to "the beautiful excess of the unshackled referent." We learn something new about guts, and about how dictions slip across one another, entwining, shimmering, wisecracking. For Zolf, political invention takes precedent, works the search engine.' - Lisa Robertson

Towards Cognitive Autonomous Networks

Author: Stephen S. Mwanje

Publisher: John Wiley & Sons

Published: 2020-10-02

Total Pages: 560

ISBN-13: 1119586402

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Learn about the latest in cognitive and autonomous network management Towards Cognitive Autonomous Networks: Network Management Automation for 5G and Beyond delivers a comprehensive understanding of the current state-of-the-art in cognitive and autonomous network operation. Authors Mwanje and Bell fully describe today's capabilities while explaining the future potential of these powerful technologies. This book advocates for autonomy in new 5G networks, arguing that the virtualization of network functions render autonomy an absolute necessity. Following that, the authors move on to comprehensively explain the background and history of large networks, and how we come to find ourselves in the place we're in now. Towards Cognitive Autonomous Networks describes several novel techniques and applications of cognition and autonomy required for end-to-end cognition including: • Configuration of autonomous networks • Operation of autonomous networks • Optimization of autonomous networks • Self-healing autonomous networks The book concludes with an examination of the extensive challenges facing completely autonomous networks now and in the future.

Dealing with Imbalanced and Weakly Labelled Data in Machine Learning using Fuzzy and Rough Set Methods

Author: Sarah Vluymans

Publisher: Springer

Published: 2018-11-23

Total Pages: 249

ISBN-13: 303004663X

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This book presents novel classification algorithms for four challenging prediction tasks, namely learning from imbalanced, semi-supervised, multi-instance and multi-label data. The methods are based on fuzzy rough set theory, a mathematical framework used to model uncertainty in data. The book makes two main contributions: helping readers gain a deeper understanding of the underlying mathematical theory; and developing new, intuitive and well-performing classification approaches. The authors bridge the gap between the theoretical proposals of the mathematical model and important challenges in machine learning. The intended readership of this book includes anyone interested in learning more about fuzzy rough set theory and how to use it in practical machine learning contexts. Although the core audience chiefly consists of mathematicians, computer scientists and engineers, the content will also be interesting and accessible to students and professionals from a range of other fields.

Metaheuristic Procedures for Training Neural Networks

Author: Enrique Alba

Publisher: Springer Science & Business Media

Published: 2006-08-25

Total Pages: 258

ISBN-13: 0387334165

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This book provides successful implementations of metaheuristic methods for neural network training. It is the first book to achieve this objective. Moreover, the basic principles and fundamental ideas given in the book will allow the readers to create successful training methods on their own. Overall, the book's aim is to provide a broad coverage of the concepts, methods, and tools of the important area of ANNs within the realm of continuous optimization.

Advances in Knowledge Discovery and Data Mining

Author: David Cheung

Publisher: Springer

Published: 2003-06-29

Total Pages: 599

ISBN-13: 3540453571

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This book constitutes the refereed proceedings of the 5th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2001, held in Hong Kong, China in April 2001. The 38 revised full papers and 22 short papers presented were carefully reviewed and selected from a total of 152 submissions. The book offers topical sections on Web mining, text mining, applications and tools, concept hierarchies, feature selection, interestingness, sequence mining, spatial and temporal mining, association mining, classification and rule induction, clustering, and advanced topics and new methods.

Dimension Estimation And Models

Author: Howell A M Tong

Publisher: World Scientific

Published: 1993-12-22

Total Pages: 232

ISBN-13: 9814504378

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This volume is the first in the new series Nonlinear Time Series and Chaos. The general aim of the series is to provide a bridge between the two communities by inviting prominent researchers in their respective fields to give a systematic account of their chosen topics, starting at the beginning and ending with the latest state. It is hoped that researchers in both communities will find the topics relevant and thought provoking. In this volume, the first chapter, written by Professor Colleen Cutler, is a comprehensive account of the theory and estimation of fractal dimension, a topic of central importance in dynamical systems, which has recently attracted the attention of the statisticians. As it is natural to study a stochastic dynamical system within the framework of Markov chains, it is therefore relevant to study their limiting behaviour. The second chapter, written by Professor Kung-Sik Chan, reviews some limit theorems of Markov chains and illustrates their relevance to chaos. The next three chapters are concerned with specific models. Briefly, Chapter Three by Professor Peter Lewis and Dr Bonnie Ray and Chapter Four by Professor Peter Brockwell generalise the class of self-exciting threshold autoregressive models in different directions. In Chapter Three, the new and powerful methodology of multivariate adaptive regression splines (MARS) is adapted to time series data. Its versatility is illustrated by reference to the very interesting and complex sea surface temperature data. Chapter Four exploits the greater tractability of continuous-time Markov approach to discrete-time data. The approach is particularly relevant to irregularly sampled data. The concluding chapter, by Professor Pham Dinh Tuan, is likely to be the most definitive account of bilinear models in discrete time to date.

Practical Field Ecology

Author: C. Philip Wheater

Publisher: John Wiley & Sons

Published: 2011-04-12

Total Pages: 308

ISBN-13: 0470976705

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This book introduces experimental design and data analysis / interpretation as well as field monitoring skills for both plants and animals. Clearly structured throughout and written in a student-friendly manner, the main emphasis of the book concentrates on the techniques required to design a field based ecological survey and shows how to execute an appropriate sampling regime. The book evaluates appropriate methods, including the problems associated with various techniques and their inherent flaws (e.g. low sample sizes, large amount of field or laboratory work, high cost etc). This provides a resource base outlining details from the planning stage, into the field, guiding through sampling and finally through organism identification in the laboratory and computer based data analysis and interpretation. The text is divided into six distinct chapters. The first chapter covers planning, including health and safety together with information on a variety of statistical techniques for examining and analysing data. Following a chapter dealing with site characterisation and general aspects of species identification, subsequent chapters describe the techniques used to survey and census particular groups of organisms. The final chapter covers interpreting and presenting data and writing up the research. The emphasis here is on appropriate wording of interpretation and structure and content of the report.