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On Line Prediction And Conversion Strategies


On Line Prediction And Conversion Strategies
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On Line Prediction And Conversion Strategies


On Line Prediction And Conversion Strategies
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Author :
language : en
Publisher:
Release Date : 1994

On Line Prediction And Conversion Strategies written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Computer system conversion categories.




Advances In Knowledge Discovery And Management


Advances In Knowledge Discovery And Management
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Author : Fabrice Guillet
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-02-13

Advances In Knowledge Discovery And Management written by Fabrice Guillet and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-02-13 with Computers categories.


During the last decade, Knowledge Discovery and Management (KDM or, in French, EGC for Extraction et Gestion des connaissances) has been an intensive and fruitful research topic in the French-speaking scientific community. In 2003, this enthusiasm for KDM led to the foundation of a specific French-speaking association, called EGC, dedicated to supporting and promoting this topic. More precisely, KDM is concerned with the interface between knowledge and data such as, among other things, Data Mining, Knowledge Discovery, Business Intelligence, Knowledge Engineering and Semantic Web. The recent and novel research contributions collected in this book are extended and reworked versions of a selection of the best papers that were originally presented in French at the EGC 2010 Conference held in Tunis, Tunisia in January 2010. The volume is organized in three parts. Part I includes four chapters concerned with various aspects of Data Cube and Ontology-based representations. Part II is composed of four chapters concerned with Efficient Pattern Mining issues, while in Part III the last four chapters address Data Preprocessing and Information Retrieval.



Time Aware Conversion Prediction For E Commerce


Time Aware Conversion Prediction For E Commerce
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Author : Wang Xiaoling
language : en
Publisher: World Scientific
Release Date : 2018-01-17

Time Aware Conversion Prediction For E Commerce written by Wang Xiaoling and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-01-17 with Business & Economics categories.


This unique compendium provides a novel research on how time influences the conversions of advertising and product recommendation in E-commerce. It proposes time-aware conversion prediction models to solve the problem — what products should be recommended for a given period to maximize conversion? The volume also presents a series of researches on how to build data-driven attribution models to allocate the time-sensitive contribution of advertisements to the conversion. This must-have reference text will be invaluable for researchers, professionals, academics and graduate students keen in databases and artificial intelligence. Contents: IntroductionBasic Conversion Prediction ModelsModeling of the Conversion DelayTime-Aware Conversion PredictionMulti-Touch Attribution Analysis in Online AdvertisingAccumulative MTA Analysis in Online AdvertisingConclusions Readership: Researchers, academics, professionals and graduate students in databases, artificial intelligence and pattern recognition. Keywords: Multi-Touch Attribution;Computational Advertising;Survival AnalysisReview:0



Learning Theory


Learning Theory
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Author : Hans Ulrich Simon
language : en
Publisher: Springer
Release Date : 2006-09-29

Learning Theory written by Hans Ulrich Simon and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-09-29 with Computers categories.


This book constitutes the refereed proceedings of the 19th Annual Conference on Learning Theory, COLT 2006, held in Pittsburgh, Pennsylvania, USA, June 2006. The book presents 43 revised full papers together with 2 articles on open problems and 3 invited lectures. The papers cover a wide range of topics including clustering, un- and semi-supervised learning, statistical learning theory, regularized learning and kernel methods, query learning and teaching, inductive inference, and more.



Algorithmic Learning Theory


Algorithmic Learning Theory
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Author : Yoav Freund
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-09-29

Algorithmic Learning Theory written by Yoav Freund and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-09-29 with Computers categories.


This book constitutes the refereed proceedings of the 19th International Conference on Algorithmic Learning Theory, ALT 2008, held in Budapest, Hungary, in October 2008, co-located with the 11th International Conference on Discovery Science, DS 2008. The 31 revised full papers presented together with the abstracts of 5 invited talks were carefully reviewed and selected from 46 submissions. The papers are dedicated to the theoretical foundations of machine learning; they address topics such as statistical learning; probability and stochastic processes; boosting and experts; active and query learning; and inductive inference.



Computational Learning Theory


Computational Learning Theory
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Author : Shai Ben-David
language : en
Publisher: Springer Science & Business Media
Release Date : 1997-03-03

Computational Learning Theory written by Shai Ben-David and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997-03-03 with Computers categories.


Content Description #Includes bibliographical references and index.



Intelligent Data Engineering And Automated Learning Ideal 2006


Intelligent Data Engineering And Automated Learning Ideal 2006
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Author : Emilio Corchado
language : en
Publisher: Springer
Release Date : 2006-09-26

Intelligent Data Engineering And Automated Learning Ideal 2006 written by Emilio Corchado and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-09-26 with Computers categories.


This book constitutes the refereed proceedings of the 7th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2006. The 170 revised full papers presented were carefully selected from 557 submissions. The papers are organized in topical sections on learning and information processing, data mining, retrieval and management, bioinformatics and bio-inspired models, agents and hybrid systems, financial engineering, as well as a special session on nature-inspired date technologies.



Computational Learning Theory


Computational Learning Theory
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Author :
language : en
Publisher:
Release Date : 2001

Computational Learning Theory written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Artificial intelligence categories.




Computational Learning Theory


Computational Learning Theory
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Author : Paul Vitanyi
language : en
Publisher: Springer Science & Business Media
Release Date : 1995-02-23

Computational Learning Theory written by Paul Vitanyi and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995-02-23 with Computers categories.


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.



Fault Tolerant Search Algorithms


Fault Tolerant Search Algorithms
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Author : Ferdinando Cicalese
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-11-29

Fault Tolerant Search Algorithms written by Ferdinando Cicalese and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-11-29 with Computers categories.


Why a book on fault-tolerant search algorithms? Searching is one of the fundamental problems in computer science. Time and again algorithmic and combinatorial issues originally studied in the context of search find application in the most diverse areas of computer science and discrete mathematics. On the other hand, fault-tolerance is a necessary ingredient of computing. Due to their inherent complexity, information systems are naturally prone to errors, which may appear at any level – as imprecisions in the data, bugs in the software, or transient or permanent hardware failures. This book provides a concise, rigorous and up-to-date account of different approaches to fault-tolerance in the context of algorithmic search theory. Thanks to their basic structure, search problems offer insights into how fault-tolerant techniques may be applied in various scenarios. In the first part of the book, a paradigmatic model for fault-tolerant search is presented, the Ulam—Rényi problem. Following a didactic approach, the author takes the reader on a tour of Ulam—Rényi problem variants of increasing complexity. In the context of this basic model, fundamental combinatorial and algorithmic issues in the design of fault-tolerant search procedures are discussed. The algorithmic efficiency achievable is analyzed with respect to the statistical nature of the error sources, and the amount of information on which the search algorithm bases its decisions. In the second part of the book, more general models of faults and fault-tolerance are considered. Special attention is given to the application of fault-tolerant search procedures to specific problems in distributed computing, bioinformatics and computational learning. This book will be of special value to researchers from the areas of combinatorial search and fault-tolerant computation, but also to researchers in learning and coding theory, databases, and artificial intelligence. Only basic training in discrete mathematics is assumed. Parts of the book can be used as the basis for specialized graduate courses on combinatorial search, or as supporting material for a graduate or undergraduate course on error-correcting codes.