Alternating Decision Tree

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Alternating Decision Tree

Author : Fouad Sabry
Publisher : One Billion Knowledgeable
ISBN 13 :
Total Pages : 176 pages
Book Rating : 4.:/5 (661 download)

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Book Synopsis Alternating Decision Tree by : Fouad Sabry

Download or read book Alternating Decision Tree written by Fouad Sabry and published by One Billion Knowledgeable. This book was released on 2023-06-23 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: What Is Alternating Decision Tree A categorization strategy that may be learned by machine learning is known as an alternating decision tree, or ADTree. It is connected to boosting and generalizes decision trees at the same time. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Alternating Decision Tree Chapter 2: Decision Tree Learning Chapter 3: AdaBoost Chapter 4: Random Forest Chapter 5: Gradient Boosting Chapter 6: Propositional Calculus Chapter 7: Support Vector Machine Chapter 8: Method of Analytic Tableaux Chapter 9: Boolean Satisfiability Algorithm Heuristics Chapter 10: Multiplicative Weight Update Method (II) Answering the public top questions about alternating decision tree. (III) Real world examples for the usage of alternating decision tree in many fields. (IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of alternating decision tree' technologies. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of alternating decision tree.

Decision Trees

Author : Source Wikipedia
Publisher : University-Press.org
ISBN 13 : 9781230509488
Total Pages : 28 pages
Book Rating : 4.5/5 (94 download)

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Book Synopsis Decision Trees by : Source Wikipedia

Download or read book Decision Trees written by Source Wikipedia and published by University-Press.org. This book was released on 2013-09 with total page 28 pages. Available in PDF, EPUB and Kindle. Book excerpt: Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Pages: 26. Chapters: Alternating decision tree, C4.5 algorithm, CHAID, Decision rules, Decision stump, Decision tree learning, Decision tree model, Gene expression programming, Gradient boosting, Grafting (decision trees), ID3 algorithm, Incremental decision tree, Information gain in decision trees, Information gain ratio, Logistic model tree, Pruning (decision trees), Random forest. Excerpt: Gene expression programming (GEP) is an evolutionary algorithm that creates computer programs or models. These computer programs are complex tree structures that learn and adapt by changing their sizes, shapes, and composition, much like a living organism. And like living organisms, the computer programs of GEP are also encoded in simple linear chromosomes of fixed length. Thus, GEP is a genotype-phenotype system, benefiting from a simple genome to keep and transmit the genetic information and a complex phenotype to explore the environment and adapt to it. GEP has been criticized for not being a major improvement over other genetic programming techniques. In many experiments, it did not perform better than existing methods. Evolutionary algorithms use populations of individuals, select individuals according to fitness, and introduce genetic variation using one or more genetic operators. Their use in artificial computational systems dates back to the 1950s where they were used to solve optimization problems (e.g. Box 1957 and Friedman 1959). But it was with the introduction of evolution strategies by Rechenberg in 1965 that evolutionary algorithms gained popularity. A good overview text on evolutionary algorithms is the book "An Introduction to Genetic Algorithms" by Mitchell (1996). Gene expression programming belongs to the family of evolutionary algorithms and is closely related to genetic algorithms and genetic programming. From genetic...

Machine Learning and Data Mining in Pattern Recognition

Author : Petra Perner
Publisher : Springer
ISBN 13 : 3540450653
Total Pages : 452 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Machine Learning and Data Mining in Pattern Recognition by : Petra Perner

Download or read book Machine Learning and Data Mining in Pattern Recognition written by Petra Perner and published by Springer. This book was released on 2003-08-02 with total page 452 pages. Available in PDF, EPUB and Kindle. Book excerpt: TheInternationalConferenceonMachineLearningandDataMining(MLDM)is the third meeting in a series of biennial events, which started in 1999, organized by the Institute of Computer Vision and Applied Computer Sciences (IBaI) in Leipzig. MLDM began as a workshop and is now a conference, and has brought the topic of machine learning and data mining to the attention of the research community. Seventy-?ve papers were submitted to the conference this year. The program committeeworkedhardtoselectthemostprogressiveresearchinafairandc- petent review process which led to the acceptance of 33 papers for presentation at the conference. The 33 papers in these proceedings cover a wide variety of topics related to machine learning and data mining. The two invited talks deal with learning in case-based reasoning and with mining for structural data. The contributed papers can be grouped into nine areas: support vector machines; pattern dis- very; decision trees; clustering; classi?cation and retrieval; case-based reasoning; Bayesian models and methods; association rules; and applications. We would like to express our appreciation to the reviewers for their precise andhighlyprofessionalwork.WearegratefultotheGermanScienceFoundation for its support of the Eastern European researchers. We appreciate the help and understanding of the editorial sta? at Springer Verlag, and in particular Alfred Hofmann,whosupportedthepublicationoftheseproceedingsintheLNAIseries. Last, but not least, we wish to thank all the speakers and participants who contributed to the success of the conference.

Decision Tree 169 Success Secrets - 169 Most Asked Questions on Decision Tree - What You Need to Know

Author : Joe Stevens
Publisher : Emereo Publishing
ISBN 13 : 9781488857072
Total Pages : 124 pages
Book Rating : 4.8/5 (57 download)

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Book Synopsis Decision Tree 169 Success Secrets - 169 Most Asked Questions on Decision Tree - What You Need to Know by : Joe Stevens

Download or read book Decision Tree 169 Success Secrets - 169 Most Asked Questions on Decision Tree - What You Need to Know written by Joe Stevens and published by Emereo Publishing. This book was released on 2014-10-14 with total page 124 pages. Available in PDF, EPUB and Kindle. Book excerpt: Takes A Fresh Look At Decision Tree. There has never been a Decision Tree Guide like this. It contains 169 answers, much more than you can imagine; comprehensive answers and extensive details and references, with insights that have never before been offered in print. Get the information you need--fast! This all-embracing guide offers a thorough view of key knowledge and detailed insight. This Guide introduces what you want to know about Decision Tree. A quick look inside of some of the subjects covered: Decision tree model - Quantum decision tree, Predictive Model Markup Language - PMML Components, Predictive Model Markup Language - PMML 4.0, 4.1 and 4.2, Pattern recognition - Classification (machine learning)Classification algorithms (supervised learningsupervised algorithms predicting categorical datacategorical labels), Alternating decision tree, Document automation In legal services, MHealth - Diagnostic support, treatment support, communication and training for healthcare workers, Decision tree learning - Decision graphs, Decision tree model - Randomized decision tree, Grey goo - Ethics and chaos, Emergency Medical Services in the United States - Medical control, Voice control - Technology, Automatic image annotation - Some major work, Structured data analysis (statistics) - Types of structured data analysis, Decision trees - Decision tree elements, Decision tree learning - Limitations, Medical algorithm, Alternating decision tree - History, Decision trees - Advantages and disadvantages, Decision network, Text categorization - Techniques, Automatic summarization - How many keyphrases to return?, Corporate finance - Valuing flexibility, Decision network - Bibliography, Information visualization - Overview, Random forest - Framework, Visualization (graphic) - Visualization techniques, and much more...

Dynamic Models of Infectious Diseases

Author : Vadrevu Sree Hari Rao
Publisher : Springer Science & Business Media
ISBN 13 : 1461439612
Total Pages : 300 pages
Book Rating : 4.4/5 (614 download)

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Book Synopsis Dynamic Models of Infectious Diseases by : Vadrevu Sree Hari Rao

Download or read book Dynamic Models of Infectious Diseases written by Vadrevu Sree Hari Rao and published by Springer Science & Business Media. This book was released on 2012-11-07 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: Despite great advances in public health worldwide, insect vector-borne infectious diseases remain a leading cause of morbidity and mortality. Diseases that are transmitted by arthropods such as mosquitoes, sand flies, fleas, and ticks affect hundreds of millions of people and account for nearly three million deaths all over the world. In the past there was very little hope of controlling the epidemics caused by these diseases, but modern advancements in science and technology are providing a variety of ways in which these diseases can be handled. Clearly, the process of transmission of an infectious disease is a nonlinear (not necessarily linear) dynamic process which can be understood only by appropriately quantifying the vital parameters that govern these dynamics.

Handbook of Neural Computation

Author : Pijush Samui
Publisher : Academic Press
ISBN 13 : 0128113197
Total Pages : 658 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Handbook of Neural Computation by : Pijush Samui

Download or read book Handbook of Neural Computation written by Pijush Samui and published by Academic Press. This book was released on 2017-07-18 with total page 658 pages. Available in PDF, EPUB and Kindle. Book excerpt: Handbook of Neural Computation explores neural computation applications, ranging from conventional fields of mechanical and civil engineering, to electronics, electrical engineering and computer science. This book covers the numerous applications of artificial and deep neural networks and their uses in learning machines, including image and speech recognition, natural language processing and risk analysis. Edited by renowned authorities in this field, this work is comprised of articles from reputable industry and academic scholars and experts from around the world. Each contributor presents a specific research issue with its recent and future trends. As the demand rises in the engineering and medical industries for neural networks and other machine learning methods to solve different types of operations, such as data prediction, classification of images, analysis of big data, and intelligent decision-making, this book provides readers with the latest, cutting-edge research in one comprehensive text. Features high-quality research articles on multivariate adaptive regression splines, the minimax probability machine, and more Discusses machine learning techniques, including classification, clustering, regression, web mining, information retrieval and natural language processing Covers supervised, unsupervised, reinforced, ensemble, and nature-inspired learning methods

Meta-Learning in Decision Tree Induction

Author : Krzysztof Grąbczewski
Publisher : Springer
ISBN 13 : 3319009605
Total Pages : 349 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis Meta-Learning in Decision Tree Induction by : Krzysztof Grąbczewski

Download or read book Meta-Learning in Decision Tree Induction written by Krzysztof Grąbczewski and published by Springer. This book was released on 2013-09-11 with total page 349 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book focuses on different variants of decision tree induction but also describes the meta-learning approach in general which is applicable to other types of machine learning algorithms. The book discusses different variants of decision tree induction and represents a useful source of information to readers wishing to review some of the techniques used in decision tree learning, as well as different ensemble methods that involve decision trees. It is shown that the knowledge of different components used within decision tree learning needs to be systematized to enable the system to generate and evaluate different variants of machine learning algorithms with the aim of identifying the top-most performers or potentially the best one. A unified view of decision tree learning enables to emulate different decision tree algorithms simply by setting certain parameters. As meta-learning requires running many different processes with the aim of obtaining performance results, a detailed description of the experimental methodology and evaluation framework is provided. Meta-learning is discussed in great detail in the second half of the book. The exposition starts by presenting a comprehensive review of many meta-learning approaches explored in the past described in literature, including for instance approaches that provide a ranking of algorithms. The approach described can be related to other work that exploits planning whose aim is to construct data mining workflows. The book stimulates interchange of ideas between different, albeit related, approaches.

Software Automatic Tuning

Author : Ken Naono
Publisher : Springer Science & Business Media
ISBN 13 : 1441969357
Total Pages : 379 pages
Book Rating : 4.4/5 (419 download)

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Book Synopsis Software Automatic Tuning by : Ken Naono

Download or read book Software Automatic Tuning written by Ken Naono and published by Springer Science & Business Media. This book was released on 2010-09-09 with total page 379 pages. Available in PDF, EPUB and Kindle. Book excerpt: Automatic Performance Tuning is a new software paradigm which enables software to be high performance in any computing environment. Its methodologies have been developed over the past decade, and it is now rapidly growing in terms of its scope and applicability, as well as in its scientific knowledge and technological methods. Software developers and researchers in the area of scientific and technical computing, high performance database systems, optimized compilers, high performance systems software, and low-power computing will find this book to be an invaluable reference to this powerful new paradigm.

Employing an Efficient and Scalable Implementation of the Cost Sensitive Alternating Decision Tree Algorithm to Efficiently Link Person Records

Download Employing an Efficient and Scalable Implementation of the Cost Sensitive Alternating Decision Tree Algorithm to Efficiently Link Person Records PDF Online Free

Author : Clark Raymond Phillips
Publisher :
ISBN 13 :
Total Pages : 168 pages
Book Rating : 4.:/5 (928 download)

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Book Synopsis Employing an Efficient and Scalable Implementation of the Cost Sensitive Alternating Decision Tree Algorithm to Efficiently Link Person Records by : Clark Raymond Phillips

Download or read book Employing an Efficient and Scalable Implementation of the Cost Sensitive Alternating Decision Tree Algorithm to Efficiently Link Person Records written by Clark Raymond Phillips and published by . This book was released on 2015 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt: When collecting person records for census, identifying individuals accurately is paramount. Over time, people change their phone numbers, their addresses, even their names. Without a universal identifier such as a social security number or a finger-print, it is difficult to know whether two distinct person records represent the same individual. The Cost Sensitive Alternating Decision Tree (CSADT) algorithm (a supervised learning algorithm) is employed as a Record Linkage solution to the problem of resolving whether two person records are the same individual. A person record consists of several attributes such as a name, a phone number, an address, etc. The number of person-record-pairs grows exponentially as the number of records increase. In order to accommodate this exponential growth, a scalable implementation of the CSADT algorithm was employed. A thorough investigation and evaluation are presented demonstrating the effectiveness of this implementation of the CSADT algorithm on linking person records.

Data Mining with Rattle and R

Author : Graham Williams
Publisher : Springer Science & Business Media
ISBN 13 : 144199890X
Total Pages : 382 pages
Book Rating : 4.4/5 (419 download)

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Book Synopsis Data Mining with Rattle and R by : Graham Williams

Download or read book Data Mining with Rattle and R written by Graham Williams and published by Springer Science & Business Media. This book was released on 2011-08-04 with total page 382 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data mining is the art and science of intelligent data analysis. By building knowledge from information, data mining adds considerable value to the ever increasing stores of electronic data that abound today. In performing data mining many decisions need to be made regarding the choice of methodology, the choice of data, the choice of tools, and the choice of algorithms. Throughout this book the reader is introduced to the basic concepts and some of the more popular algorithms of data mining. With a focus on the hands-on end-to-end process for data mining, Williams guides the reader through various capabilities of the easy to use, free, and open source Rattle Data Mining Software built on the sophisticated R Statistical Software. The focus on doing data mining rather than just reading about data mining is refreshing. The book covers data understanding, data preparation, data refinement, model building, model evaluation, and practical deployment. The reader will learn to rapidly deliver a data mining project using software easily installed for free from the Internet. Coupling Rattle with R delivers a very sophisticated data mining environment with all the power, and more, of the many commercial offerings.

Machine Learning: ECML 2002

Author : Tapio Elomaa
Publisher : Springer
ISBN 13 : 3540367551
Total Pages : 548 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Machine Learning: ECML 2002 by : Tapio Elomaa

Download or read book Machine Learning: ECML 2002 written by Tapio Elomaa and published by Springer. This book was released on 2002-01-01 with total page 548 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed preceedings of the 13th European Conference on Machine Learning, ECML 2002, held in Helsinki, Finland in August 2002. The 41 revised full papers presented together with 4 invited contributions were carefully reviewed and selected from numerous submissions. Among the topics covered are computational discovery, search strategies, Classification, support vector machines, kernel methods, rule induction, linear learning, decision tree learning, boosting, collaborative learning, statistical learning, clustering, instance-based learning, reinforcement learning, multiagent learning, multirelational learning, Markov decision processes, active learning, etc.

Intelligent Systems

Author : Crina Grosan
Publisher : Springer Science & Business Media
ISBN 13 : 364221004X
Total Pages : 456 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Intelligent Systems by : Crina Grosan

Download or read book Intelligent Systems written by Crina Grosan and published by Springer Science & Business Media. This book was released on 2011-07-29 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational intelligence is a well-established paradigm, where new theories with a sound biological understanding have been evolving. The current experimental systems have many of the characteristics of biological computers (brains in other words) and are beginning to be built to perform a variety of tasks that are difficult or impossible to do with conventional computers. As evident, the ultimate achievement in this field would be to mimic or exceed human cognitive capabilities including reasoning, recognition, creativity, emotions, understanding, learning and so on. This book comprising of 17 chapters offers a step-by-step introduction (in a chronological order) to the various modern computational intelligence tools used in practical problem solving. Staring with different search techniques including informed and uninformed search, heuristic search, minmax, alpha-beta pruning methods, evolutionary algorithms and swarm intelligent techniques; the authors illustrate the design of knowledge-based systems and advanced expert systems, which incorporate uncertainty and fuzziness. Machine learning algorithms including decision trees and artificial neural networks are presented and finally the fundamentals of hybrid intelligent systems are also depicted. Academics, scientists as well as engineers engaged in research, development and application of computational intelligence techniques, machine learning and data mining would find the comprehensive coverage of this book invaluable.

Handbook of Medical and Healthcare Technologies

Author : Borko Furht
Publisher : Springer Science & Business Media
ISBN 13 : 1461484952
Total Pages : 530 pages
Book Rating : 4.4/5 (614 download)

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Book Synopsis Handbook of Medical and Healthcare Technologies by : Borko Furht

Download or read book Handbook of Medical and Healthcare Technologies written by Borko Furht and published by Springer Science & Business Media. This book was released on 2013-11-20 with total page 530 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book equips readers to understand a complex range of healthcare products that are used to diagnose, monitor, and treat diseases or medical conditions affecting humans. The first part of the book presents medical technologies such as medical information retrieval, tissue engineering techniques, 3D medical imaging, nanotechnology innovations in medicine, medical wireless sensor networks, and knowledge mining techniques in medicine. The second half of the book focuses on healthcare technologies including prediction hospital readmission risk, modeling e-health framework, personal Web in healthcare, security issues for medical records, and personalized services in healthcare. The contributors are leading world researchers who share their innovations, making this handbook the definitive resource on these topics. Handbook of Medical and Healthcare Technologies is intended for a wide audience including academicians, designers, developers, researchers and advanced-level students. It is also valuable for business managers, entrepreneurs, and investors within the medical and healthcare industries.

Author :
Publisher : World Scientific
ISBN 13 :
Total Pages : 1054 pages
Book Rating : 4./5 ( download)

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Book Synopsis by :

Download or read book written by and published by World Scientific. This book was released on with total page 1054 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Proceedings of the 6th International Conference on Hydroinformatics

Author : Shie-Yui Liong
Publisher : World Scientific
ISBN 13 : 9812387870
Total Pages : 2073 pages
Book Rating : 4.8/5 (123 download)

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Book Synopsis Proceedings of the 6th International Conference on Hydroinformatics by : Shie-Yui Liong

Download or read book Proceedings of the 6th International Conference on Hydroinformatics written by Shie-Yui Liong and published by World Scientific. This book was released on 2004-01-01 with total page 2073 pages. Available in PDF, EPUB and Kindle. Book excerpt: Hydroinformatics addresses cross-disciplinary issues ranging from technological and sociological to more general environmental concerns, including an ethical perspective. It covers the application of information technology in the widest sense to problems of the aquatic environment.This two-volume publication contains about 250 high quality papers contributed by authors from over 50 countries. The proceedings present many exciting new findings in the emerging subjects, as well as their applications, such as: data mining, data assimilation, artificial neural networks, fuzzy logic, genetic algorithms and genetic programming, chaos theory and support vector machines, geographic information systems and virtual imaging, decision support and management systems, Internet-based technologies.This book provides an excellent reference to researchers, graduate students, practitioners, and all those interested in the field of hydroinformatics.

Handbook of Research on Modern Cryptographic Solutions for Computer and Cyber Security

Author : Gupta, Brij
Publisher : IGI Global
ISBN 13 : 1522501061
Total Pages : 616 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Handbook of Research on Modern Cryptographic Solutions for Computer and Cyber Security by : Gupta, Brij

Download or read book Handbook of Research on Modern Cryptographic Solutions for Computer and Cyber Security written by Gupta, Brij and published by IGI Global. This book was released on 2016-05-16 with total page 616 pages. Available in PDF, EPUB and Kindle. Book excerpt: Internet usage has become a facet of everyday life, especially as more technological advances have made it easier to connect to the web from virtually anywhere in the developed world. However, with this increased usage comes heightened threats to security within digital environments. The Handbook of Research on Modern Cryptographic Solutions for Computer and Cyber Security identifies emergent research and techniques being utilized in the field of cryptology and cyber threat prevention. Featuring theoretical perspectives, best practices, and future research directions, this handbook of research is a vital resource for professionals, researchers, faculty members, scientists, graduate students, scholars, and software developers interested in threat identification and prevention.

Boosting

Author : Robert E. Schapire
Publisher : MIT Press
ISBN 13 : 0262526034
Total Pages : 544 pages
Book Rating : 4.2/5 (625 download)

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Book Synopsis Boosting by : Robert E. Schapire

Download or read book Boosting written by Robert E. Schapire and published by MIT Press. This book was released on 2014-01-10 with total page 544 pages. Available in PDF, EPUB and Kindle. Book excerpt: An accessible introduction and essential reference for an approach to machine learning that creates highly accurate prediction rules by combining many weak and inaccurate ones. Boosting is an approach to machine learning based on the idea of creating a highly accurate predictor by combining many weak and inaccurate “rules of thumb.” A remarkably rich theory has evolved around boosting, with connections to a range of topics, including statistics, game theory, convex optimization, and information geometry. Boosting algorithms have also enjoyed practical success in such fields as biology, vision, and speech processing. At various times in its history, boosting has been perceived as mysterious, controversial, even paradoxical. This book, written by the inventors of the method, brings together, organizes, simplifies, and substantially extends two decades of research on boosting, presenting both theory and applications in a way that is accessible to readers from diverse backgrounds while also providing an authoritative reference for advanced researchers. With its introductory treatment of all material and its inclusion of exercises in every chapter, the book is appropriate for course use as well. The book begins with a general introduction to machine learning algorithms and their analysis; then explores the core theory of boosting, especially its ability to generalize; examines some of the myriad other theoretical viewpoints that help to explain and understand boosting; provides practical extensions of boosting for more complex learning problems; and finally presents a number of advanced theoretical topics. Numerous applications and practical illustrations are offered throughout.