Pattern Classification Using Ensemble Methods

Researchers from various disciplines such as pattern recognition, statistics, and machine learning have explored the use of ensemble methodology since the late seventies. Thus, they are faced with a w

This book adopts a detailed and methodological algorithmic approach to explain the concepts of pattern recognition. While the text provides a systematic account of its major topics such as pattern rep

The book presents an axiomatic approach to the problems of prediction, classification, and statistical learning. Using methodologies from axiomatic decision theory, and, in particular, the authors' ca

Pattern and Pattern Sourcebook 4, the fourth volume in Rockport's Pattern and Palette series, is an invaluable tool for art directors, designers, and students working in the fashion, product, and grap

Methods, Management and Marketing; The Change of Libraries; Digital Resources and New Library Models; Focus to Users and User Groups; Information Literacy; Quality, Using Qualitative and Quantitative

Model Building is the most fruitful area of economics, designed to solve real-world problems using all available methods such as mathematical, computational and analytical, without distinction. Wherev

Classification and Human Evolution

特色： Includes nearly 1,000 original patterns Features color palettes and patterns finely tuned for each themed chapter Contains an interactive CD-ROM for color and pattern experimentation

This book considers classical and current theory and practice, of both supervised and unsupervised pattern recognition, to build a complete background for professionals and students of engineering. Th

This is the first comprehensive treatment of feed-forward neural networks from the perspective of statistical pattern recognition. After introducing the basic concepts, the book examines techniques fo

Research Methods for Business, 9th Edition explains the principles and practices of using a systematic, organized research approach, facilitating the development of effective solutions to business challenges. Designed to help students view research from the perspective of management, this leading textbook guides readers through the entire business research process while fostering a deeper understanding of how to conduct rigorous, relevant, and ethical research.Provides a clear, student-friendly introduction to business research with an informal and accessible writing styleCovers a wide range of business research methods and practices used in areas such as human resources management, strategic management, operations management, finance, and accountingIntegrates real-world case studies and examples from various business disciplines to illustrate key conceptsEmphasizes both scientific and pragmatic approaches to research to ensure a well-rounded understandingEnhances critical thinking and

Business Research Methods, 14e, contains stand-alone chapters that reflect research industry practices using real examples from all areas of business. In collaborations with over two dozen industry researchers, Schindler writes a real-world research methods book that distinguishes between big data analytics and small data with an emphasis on decision making. She eloquently covers ethical issues and their solutions, and has added more coverage of process models, sampling how-to, and data preparation.Conscious of the different learning styles of students, Schindler provides appropriate cues for both visual and verbal learners through the use of in-text exhibits, bolded key terms, conceptual photos throughout and research though-leader quotes in PowerPoints for each chapter. She also used various interim GreenBook Research Industry Trends (GRIT) reports to guide the research for this revision. The latest GRIT Report is based on the largest study of research suppliers and users ever conduc

Pattern recognition, image processing and computer vision are closely linked areas which have seen enormous progress in the last fifty years. Their applications in our daily life, commerce and industr

This book is an introduction to financial valuation and financial data analyses using econometric methods. It is intended for advanced finance undergraduates and graduates. Most chapters in the book w

This book is an introduction to financial valuation and financial data analyses using econometric methods. It is intended for advanced finance undergraduates and graduates. Most chapters in the book w

Time and Age explores how time is defined by man. It follows the development of our means for measuring time from early methods using the flow of water or the steady burning of candles through to the

Time and Age explores how time is defined by man. It follows the development of our means for measuring time from early methods using the flow of water or the steady burning of candles through to the

This book gives introductory chapters on the classical basic and standard methods for asymptotic analysis, such as Watson's lemma, Laplace's method, the saddle point and steepest descent methods, stat

Technical analysis is defined as the tracking and prediction of asset price movements using charts and graphs in combination with various mathematical and statistical methods. More precisely, it is th

This book presents the illustrated version of the TNM Classification of Malignant Tumours, Seventh Edition, promoting the uniform application of the TNM classification in cancer practice. Now featurin

These lecturers provide a clear introduction to Lie group methods for determining and using symmetries of differential equations, a variety of their applications in gas dynamics and other nonlinear mo

These lectures are designed to introduce students to the fundamentals of carrier transport in nano-devices using a novel, “bottom up approach” that agrees with traditional methods when devices are lar

These lectures are designed to introduce students to the fundamentals of carrier transport in nano-devices using a novel, “bottom up approach” that agrees with traditional methods when devices are lar

The scope of this book is the field of evolutionary genetics. The book contains new methods for simulating evolution at the genomic level. It sets out applications using up to date Monte Carlo simulat

Support Vector Machines (SVMs) are among the most important recent developments in pattern recognition and statistical machine learning. They have found a great range of applications in various fields

Writing for advanced undergraduate or beginning graduate students of finance, Lim (Singapore Management U.) introduces financial valuation and financial data analysis using econometric methods. There

This book is concerned with a fundamentally novel approach to graph-based pattern recognition based on vector space embedding of graphs. It aims at condensing the high representational power of graphs

This book presents the first systematic classification of Mandarin verbs within a rigorously defined modern generative framework.The classification is based on the subcategorized grammatical functions

This practical text features computer-aided engineering methods for the design and application of magnetic actuators and sensors, using the latest software tools. John Brauer highlights the use of the

In recent years, with the introduction of new media products, there has been a shift in the use of programming languages from FORTRAN or C to MATLAB for implementing numerical methods. This book makes

Human development is not simply about wealth and economic well-being, it is also dependent upon shared values that cherish the sanctity of human life. Using comparative methods, archival research and

Ideal for those in science and industry, this state-of-the-art guide to using MATLAB introduces readers to a wide range of numerical algorithms implemented by this modern and powerful computer softwar

Orthodontic movements that are considered difficult to accomplish with traditional methods can be achieved with minimal patient cooperation by using miniscrew implants. This book brings together the k

為【劍橋英語教學大師口袋書系列】書籍，內容以「如何有效運用AI提升語言教學」為主軸，提供教學實務上的運用指南與建議，可做為英語教師師培課程用書或課程設計參考書。In this user-friendly book, Nicky Hockly draws on research and her own experience to examine the benefits and challenges of using AI in language teaching. The book provides a range of guidance on good practices in using the technology, with simple tips for applying the learning. It explores some of the key ethical, moral, philosophical and legal questions around using AI and covers topics including accessibility, data ownership and concerns around students cheating. The book also includes support for using AI to help teachers and learners develop. Nicky Hockly's 30 Essentials for Using Artificial Intelligence is an essential guide for teachers of all levels of experience.

Statistical Methods for Reliability Data, Second Edition (SMRD2) is an essential guide to the most widely used and recently developed statistical methods for reliability data analysis and reliability test planning. Written by three experts in the area, SMRD2 updates and extends the long- established statistical techniques and shows how to apply powerful graphical, numerical, and simulation-based methods to a range of applications in reliability. SMRD2 is a comprehensive resource that describes maximum likelihood and Bayesian methods for solving practical problems that arise in product reliability and similar areas of application. SMRD2 illustrates methods with numerous applications and all the data sets are available on the book’s website. Also, SMRD2 contains an extensive collection of exercises that will enhance its use as a course textbook.The SMRD2's website contains valuable resources, including R packages, Stan model codes, presentation slides, technical notes, information about

See how interesting experimental and nonexperimental research can be with RESEARCH METHODS FOR THE BEHAVIORAL SCIENCES, 6th Edition. Inviting and conversational, the text leads you through the researc

Scott Thornbury's very accessible 30 Teaching Methods, groups methods according to what they have in common, even if separated in time. At the same time, it rehabilitates some lost or forgotten method

Statistical methods applied to social sciences, made accessible to all through an emphasis on concepts Statistical Methods for the Social Sciences introduces statistical methods to students majoring i

For courses in Research Methods in Political Science and Sociology, and in Qualitative Research Methods Raising questions, rather than giving answers Qualitative Research Methods for the Social

Urban Planning Methods