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Author : Klaus Adam
Publisher : Unknown
Page : 56 pages
File Size : 47,9 Mb
Release : 1999
Category : Game theory
ISBN : IND:30000061670117
Author : Wray Buntine,Marko Grobelnik,Dunja Mladenic,John Shawe-Taylor
Publisher : Springer
Page : 756 pages
File Size : 54,9 Mb
Release : 2009-08-28
Category : Computers
ISBN : 9783642041808
This book constitutes the refereed proceedings of the joint conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2009, held in Bled, Slovenia, in September 2009. The 106 papers presented in two volumes, together with 5 invited talks, were carefully reviewed and selected from 422 paper submissions. In addition to the regular papers the volume contains 14 abstracts of papers appearing in full version in the Machine Learning Journal and the Knowledge Discovery and Databases Journal of Springer. The conference intends to provide an international forum for the discussion of the latest high quality research results in all areas related to machine learning and knowledge discovery in databases. The topics addressed are application of machine learning and data mining methods to real-world problems, particularly exploratory research that describes novel learning and mining tasks and applications requiring non-standard techniques.
Author : Pennsylvania
Publisher : Unknown
Page : 1032 pages
File Size : 52,8 Mb
Release : 2001
Category : Economics
ISBN : 00220531
Author : Bibliothèque centrale (Fonds Quetelet)
Publisher : Unknown
Page : 716 pages
File Size : 47,8 Mb
Release : 2002
Category : Electronic
ISBN : STANFORD:36105113202167
Author : Anonim
Publisher : North Holland
Page : 632 pages
File Size : 44,8 Mb
Release : 2019-09-15
Category : Business & Economics
ISBN : 9780444637598
Handbook of the Economics of Marketing, Volume One: Marketing and Economics mixes empirical work in industrial organization with quantitative marketing tools, presenting tactics that help researchers tackle problems with a balance of intuition and skepticism. It offers critical perspectives on theoretical work within economics, delivering a comprehensive, critical, up-to-date, and accessible review of the field that has always been missing. This literature summary of research at the intersection of economics and marketing is written by, and for, economists, and the book's authors share a belief in analytical and integrated approaches to marketing, emphasizing data-driven, result-oriented, pragmatic strategies. Helps academic and non-academic economists understand recent, rapid changes in the economics of marketing Designed for economists already convinced of the benefits of applying economics tools to marketing Written for those who wish to become quickly acquainted with the integration of marketing and economics
Author : Oded Maimon,Lior Rokach
Publisher : Springer Science & Business Media
Page : 1269 pages
File Size : 51,8 Mb
Release : 2010-09-10
Category : Computers
ISBN : 9780387098234
This book organizes key concepts, theories, standards, methodologies, trends, challenges and applications of data mining and knowledge discovery in databases. It first surveys, then provides comprehensive yet concise algorithmic descriptions of methods, including classic methods plus the extensions and novel methods developed recently. It also gives in-depth descriptions of data mining applications in various interdisciplinary industries.
Author : Oded Z. Maimon,Oded Maimon,Lior Rokach
Publisher : Springer Science & Business Media
Page : 1436 pages
File Size : 41,8 Mb
Release : 2005
Category : Computers
ISBN : 0387244352
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 : Michel Gendreau,Jean-Yves Potvin
Publisher : Springer
Page : 611 pages
File Size : 42,5 Mb
Release : 2018-09-20
Category : Business & Economics
ISBN : 9783319910864
The third edition of this handbook is designed to provide a broad coverage of the concepts, implementations, and applications in metaheuristics. The book’s chapters serve as stand-alone presentations giving both the necessary underpinnings as well as practical guides for implementation. The nature of metaheuristics invites an analyst to modify basic methods in response to problem characteristics, past experiences, and personal preferences, and the chapters in this handbook are designed to facilitate this process as well. This new edition has been fully revised and features new chapters on swarm intelligence and automated design of metaheuristics from flexible algorithm frameworks. The authors who have contributed to this volume represent leading figures from the metaheuristic community and are responsible for pioneering contributions to the fields they write about. Their collective work has significantly enriched the field of optimization in general and combinatorial optimization in particular.Metaheuristics are solution methods that orchestrate an interaction between local improvement procedures and higher level strategies to create a process capable of escaping from local optima and performing a robust search of a solution space. In addition, many new and exciting developments and extensions have been observed in the last few years. Hybrids of metaheuristics with other optimization techniques, like branch-and-bound, mathematical programming or constraint programming are also increasingly popular. On the front of applications, metaheuristics are now used to find high-quality solutions to an ever-growing number of complex, ill-defined real-world problems, in particular combinatorial ones. This handbook should continue to be a great reference for researchers, graduate students, as well as practitioners interested in metaheuristics.
Author : Ben Long
Publisher : CDP Press LLC
Page : 569 pages
File Size : 55,7 Mb
Release : 2019-04-28
Category : Photography
ISBN : 9781732636910
In this newly updated, ninth edition of the best-selling photography book—in print since 1999—Ben Long guides you through the creative and challenging world of digital photography. Complete Digital Photography 9 has everything you need to know to create great photos: from how to master your camera, to learning about composition, lighting, image editing, workflow and output. Ben also includes a number of shooting exercises in the front part of the book to help you get comfortable with photographic techniques, and there are extensive step-by-step tutorials designed to help you master image editing in Adobe Lightroom, Photoshop and other apps. With Ben’s easy-going, comprehensive teaching style, you’ll be amazed at the results you get from Complete Digital Photography.
Author : Charles Edquist
Publisher : Routledge
Page : 447 pages
File Size : 54,7 Mb
Release : 2013-01-11
Category : Business & Economics
ISBN : 9781136600586
The systems of innovation approach is considered by many to be a useful analytical approach for better understanding innovation processes as well as the production and distribution of knowledge in the economy. It is an appropriate framework for the empirical study of innovations in their contexts and is relevant for policy makers. This text is the result of the work within an international inter-disciplinary network or "working seminar" with the task of building a more solid and sophisticated conceptual and theoretical foundation for the continued study of innovations in a systemic context. The book has three parts. The first presents an overview and tries to work out some conceptual problems. In the second, the systems of innovation approach is related to innovation theory. Part three is devoted to increasing understanding of the functioning and dynamics of systems of innovation. There is also an introduction where the genesis and anatomy of different systems of innovation approaches are discussed and where the systems of innovation approach is characterized in nine dimensions.
Author : Mark Wallace
Publisher : Springer Nature
Page : 224 pages
File Size : 55,8 Mb
Release : 2020-04-23
Category : Computers
ISBN : 9783030417321
This book introduces readers to the principles of intelligent decision support systems (IDSS) and how to build them with MiniZinc, a free, open-source constraint programming language. Managing an IDSS project requires an understanding of the system’s design and behaviour. The book enables readers to appreciate what “combinatorial” optimisation problems are, and how modelling a problem provides the basis for solving it. It also presents the main algorithms for tackling decision support problems, discusses their strengths and weaknesses, and explores ways of achieving the necessary scalability when problems become big. Moreover, to support the learning process it allows readers to try out the ideas described in the text on model applications and puzzles. The book highlights the potential benefits of deploying an IDSS. It enables users to recognise the key risks involved and identify which techniques can be applied to minimise them, and to understand the decision support technology sufficiently in order to manage or monitor an IDSS project. It also helps readers distinguish between good sense and mere jargon when dealing with anyone involved in an IDSS project, from sales personnel to software implementers. As such it especially appeals to graduate students and advanced professionals who need to learn how to build an IDSS and to tackle the problems on the way.
Author : Marco Fugazza
Publisher : Unknown
Page : 48 pages
File Size : 53,7 Mb
Release : 1999
Category : Business cycles
ISBN : IND:30000061670299
Author : Anonim
Publisher : Unknown
Page : 812 pages
File Size : 50,8 Mb
Release : 2002
Category : Mathematics
ISBN : UOM:39015057109889
Author : Jean Chrysostome K. Kiyala
Publisher : Springer
Page : 518 pages
File Size : 53,7 Mb
Release : 2018-07-18
Category : Political Science
ISBN : 9783319900711
This book investigates how, while children used as soldiers are primarily perceived as victims of offences against international law, they also commit war atrocities. In the aftermath of armed conflict, the mainstream justice system targets warlords internationally, armed groups and militias’ commanders who abduct and enrol children as combatants, leaving child perpetrators not being held accountable for their alleged gross human rights violations. Attempts to prosecute child soldiers through the mainstream justice system have resulted in child rights abuses. Where no accountability measures have been taken, demobilised young soldiers have experienced rejection, and eventually, some have returned to soldiering. This research provides evidence of the potential of restorative justice peacemaking circles and locally-based jurisprudence – specifically the Baraza - to hold former child soldiers accountable and facilitate their reintegration into society.
Author : Pavel Brazdil
Publisher : Springer Nature
Page : 349 pages
File Size : 48,7 Mb
Release : 2022
Category : Artificial intelligence
ISBN : 9783030670245
This open access book as one of the fastest-growing areas of research in machine learning, metalearning studies principled methods to obtain efficient models and solutions by adapting machine learning and data mining processes. This adaptation usually exploits information from past experience on other tasks and the adaptive processes can involve machine learning approaches. As a related area to metalearning and a hot topic currently, automated machine learning (AutoML) is concerned with automating the machine learning processes. Metalearning and AutoML can help AI learn to control the application of different learning methods and acquire new solutions faster without unnecessary interventions from the user. This book offers a comprehensive and thorough introduction to almost all aspects of metalearning and AutoML, covering the basic concepts and architecture, evaluation, datasets, hyperparameter optimization, ensembles and workflows, and also how this knowledge can be used to select, combine, compose, adapt and configure both algorithms and models to yield faster and better solutions to data mining and data science problems. It can thus help developers to develop systems that can improve themselves through experience. This book is a substantial update of the first edition published in 2009. It includes 18 chapters, more than twice as much as the previous version. This enabled the authors to cover the most relevant topics in more depth and incorporate the overview of recent research in the respective area. The book will be of interest to researchers and graduate students in the areas of machine learning, data mining, data science and artificial intelligence.
