Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download The Classifier PDF full book. Access full book title The Classifier by Wessel Ebersohn. Download full books in PDF and EPUB format.
Author: Wessel Ebersohn Publisher: Penguin Random House South Africa ISBN: 141520215X Category : Fiction Languages : en Pages : 514
Book Description
What happens to Chris and Ruthie comes naturally to teenagers: they fall in love, obsessively. But it isn’t natural that their love can only survive in secrecy, being against the wishes, even beyond the imagination, of their parents. And above all being illegal. At home Chris half loves, half fears his taciturn father, who never speaks of his important work for the Government. As Chris’s world opens up he learns about his father’s job as head of the province’s Race Classification Office, whose every decision can make or break somebody’s life in the 1970s South Africa. In this moving rites-of-passage story set in extraordinary circumstances, a coloured girl and white boy head for devastating consequences as their vulnerable lives hurtle down a collision course with the pitiless laws of society and the implacable resolve of his father.
Author: Wessel Ebersohn Publisher: Penguin Random House South Africa ISBN: 141520215X Category : Fiction Languages : en Pages : 514
Book Description
What happens to Chris and Ruthie comes naturally to teenagers: they fall in love, obsessively. But it isn’t natural that their love can only survive in secrecy, being against the wishes, even beyond the imagination, of their parents. And above all being illegal. At home Chris half loves, half fears his taciturn father, who never speaks of his important work for the Government. As Chris’s world opens up he learns about his father’s job as head of the province’s Race Classification Office, whose every decision can make or break somebody’s life in the 1970s South Africa. In this moving rites-of-passage story set in extraordinary circumstances, a coloured girl and white boy head for devastating consequences as their vulnerable lives hurtle down a collision course with the pitiless laws of society and the implacable resolve of his father.
Author: Jaume Bacardit Publisher: Springer ISBN: 3540881387 Category : Computers Languages : en Pages : 316
Book Description
This book constitutes the thoroughly refereed joint post-conference proceedings of two consecutive International Workshops on Learning Classifier Systems that took place in Seattle, WA, USA in July 2006, and in London, UK, in July 2007 - all hosted by the Genetic and Evolutionary Computation Conference, GECCO. The 14 revised full papers presented were carefully reviewed and selected from the workshop contributions. The papers are organized in topical sections on knowledge representation, analysis of the system, mechanisms, new directions, as well as applications.
Author: Pier Luca Lanzi Publisher: Springer ISBN: 354040029X Category : Computers Languages : en Pages : 238
Book Description
The 5th International Workshop on Learning Classi?er Systems (IWLCS2002) was held September 7–8, 2002, in Granada, Spain, during the 7th International Conference on Parallel Problem Solving from Nature (PPSN VII). We have included in this volume revised and extended versions of the papers presented at the workshop. In the ?rst paper, Browne introduces a new model of learning classi?er system, iLCS, and tests it on the Wisconsin Breast Cancer classi?cation problem. Dixon et al. present an algorithm for reducing the solutions evolved by the classi?er system XCS, so as to produce a small set of readily understandable rules. Enee and Barbaroux take a close look at Pittsburgh-style classi?er systems, focusing on the multi-agent problem known as El-farol. Holmes and Bilker investigate the effect that various types of missing data have on the classi?cation performance of learning classi?er systems. The two papers by Kovacs deal with an important theoretical issue in learning classi?er systems: the use of accuracy-based ?tness as opposed to the more traditional strength-based ?tness. In the ?rst paper, Kovacs introduces a strength-based version of XCS, called SB-XCS. The original XCS and the new SB-XCS are compared in the second paper, where - vacs discusses the different classes of solutions that XCS and SB-XCS tend to evolve.
Author: J. Sklansky Publisher: Springer Science & Business Media ISBN: 1461258383 Category : Technology & Engineering Languages : en Pages : 345
Book Description
This book is the outgrowth of both a research program and a graduate course at the University of California, Irvine (UCI) since 1966, as well as a graduate course at the California State Polytechnic University, Pomona (Cal Poly Pomona). The research program, part of the UCI Pattern Recogni tion Project, was concerned with the design of trainable classifiers; the graduate courses were broader in scope, including subjects such as feature selection, cluster analysis, choice of data set, and estimates of probability densities. In the interest of minimizing overlap with other books on pattern recogni tion or classifier theory, we have selected a few topics of special interest for this book, and treated them in some depth. Some of this material has not been previously published. The book is intended for use as a guide to the designer of pattern classifiers, or as a text in a graduate course in an engi neering or computer science curriculum. Although this book is directed primarily to engineers and computer scientists, it may also be of interest to psychologists, biologists, medical scientists, and social scientists.
Author: Aleksandra I︠U︡rʹevna Aĭkhenvalʹd Publisher: ISBN: 0198842015 Category : Language Arts & Disciplines Languages : en Pages : 333
Book Description
This volume offers a comprehensive account of the typology of noun classification across the world's languages. Following a detailed introduction to noun categorization, the chapters in the volume provide in-depth studies of genders and classifiers of different types in a range of South American and Asian languages and language families.
Author: Terry Windeatt Publisher: Springer ISBN: 3540449388 Category : Business & Economics Languages : en Pages : 417
Book Description
The refereed proceedings of the 4th International Workshop on Multiple Classifier Systems, MCS 2003, held in Guildford, UK in June 2003. The 40 revised full papers presented with one invited paper were carefully reviewed and selected for presentation. The papers are organized in topical sections on boosting, combination rules, multi-class methods, fusion schemes and architectures, neural network ensembles, ensemble strategies, and applications
Author: Sameer Singh Publisher: Springer ISBN: 3540287582 Category : Computers Languages : en Pages : 713
Book Description
This LNCS volume contains the papers presented at the 3rd International Conference on Advances in Pattern Recognition (ICAPR 2005) organized in August, 2005 in the beautiful city of Bath, UK.
Author: Esteban Alfaro Publisher: John Wiley & Sons ISBN: 1119421578 Category : Mathematics Languages : en Pages : 224
Book Description
An essential guide to two burgeoning topics in machine learning – classification trees and ensemble learning Ensemble Classification Methods with Applications in R introduces the concepts and principles of ensemble classifiers methods and includes a review of the most commonly used techniques. This important resource shows how ensemble classification has become an extension of the individual classifiers. The text puts the emphasis on two areas of machine learning: classification trees and ensemble learning. The authors explore ensemble classification methods’ basic characteristics and explain the types of problems that can emerge in its application. Written by a team of noted experts in the field, the text is divided into two main sections. The first section outlines the theoretical underpinnings of the topic and the second section is designed to include examples of practical applications. The book contains a wealth of illustrative cases of business failure prediction, zoology, ecology and others. This vital guide: Offers an important text that has been tested both in the classroom and at tutorials at conferences Contains authoritative information written by leading experts in the field Presents a comprehensive text that can be applied to courses in machine learning, data mining and artificial intelligence Combines in one volume two of the most intriguing topics in machine learning: ensemble learning and classification trees Written for researchers from many fields such as biostatistics, economics, environment, zoology, as well as students of data mining and machine learning, Ensemble Classification Methods with Applications in R puts the focus on two topics in machine learning: classification trees and ensemble learning.
Author: Wessel Ebersohn
Author: Wessel Ebersohn
Author: Jaume Bacardit
Author: United States Civil Service Commission
Author: Pier Luca Lanzi
Author: J. Sklansky
Author: Aleksandra I︠U︡rʹevna Aĭkhenvalʹd
Author: Terry Windeatt
Author: Sameer Singh
Author: United States Civil Service Commission
Author: Esteban Alfaro