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  • Book

  • Introduction to machine learning

    • Authors: Ethem Alpaydin (2014)

  • Other substantial changes include discussions of outlier detection; ranking algorithms for perceptrons and support vector machines; matrix decomposition and spectral methods; distance estimation; new kernel algorithms; deep learning in multilayered perceptrons; and the nonparametric approach to Bayesian methods.
  • Sách/Book

  • Embedded system tutorialspoint : simply easy learning

    • Authors: - (2014)

  • We can broadly define an embedded system as a microcontroller-based, software-driven, reliable, real-time control system, designed to perform a specific task. It can be thought of as a computer hardware system having software embedded in it. An embedded system can be either an independent system or a part of a large system. In this tutorial, we will explain all the steps necessary to design an embedded system and use it.
  • Sách/Book

  • Multimedia database retrieval. : Technology and Applications

    • Authors: Paisarn Muneesawang (2014)

  • This book explores multimedia applications that emerged from computer vision and machine learning technologies. These state-of-the-art applications include MPEG-7, interactive multimedia retrieval, multimodal fusion, annotation, and database re-ranking. The application-oriented approach maximizes reader understanding of this complex field. Established researchers explain the latest developments in multimedia database technology and offer a glimpse of future technologies
  • Sách/Book

  • Designing with the mind in mind simple : simple guide to understanding user interface design guidelines

    • Authors: Jeff Johnson (2014)

  • Early UI practitioners were trained in cognitive psychology, and developed UI design rules based on it. But as the field has evolved since the first edition of this book, designers enter the field from many disciplines. Practitioners today have enough experience in UI design that they have been exposed to design rules, but it is essential that they understand the psychology behind the rules in order to effectively apply them. In this new edition, you'll find new chapters on human choice and decision making, hand-eye coordination and attention, as well as new examples, figures, and explanations throughout.
  • Sách/Book

  • Design of Modern Communication Networks : Methods and Applications .

    • Authors: Christofer Larsson (2014)

  • The book discusses the nature and complexity of the network design process, then introduces theoretical concepts, problems and solutions. It demonstrates the design of network topology and traditional loss networks, followed by uncontrolled packet networks, flow-controlled networks, and multiservice networks. Access network design is reviewed, and the book concludes by considering the design of survivable (reliable) networks and various reliability concepts. A toolbox of algorithms: The book provides practical advice on implementing algorithms, including the programming aspects of combinatorial algorithms. Extensive solved problems and illustrations: Wherever possible, different solution methods are applied to the same examples to compare performance and verify precision and applica...
  • Sách/Book

  • Java How To Program (Early Objects)

    • Authors: Harvey Deitel (2014)

  • MyProgrammingLab for Java How to Program (Early Objects) is a total learning package. MyProgrammingLab is an online homework, tutorial, and assessment program that truly engages students in learning.
  • Sách/Book

  • Hướng dẫn thực hành Stata 12

    • Authors: Trần Thị Tuấn Anh (2014)

  • Giới thiệu phần mềm Stata; Lưu dữ liệu và kết quả trên Stata ; Tạo và quản lý biến (VARIABLE ) trong Stata; Hồi quy tuyến tính với Stata; Mở rộng quy hồi tuyến tính; Hồi quy với biến giả; Đa cộng tuyến ....
  • Sách/Book

  • Data Warehouse Systems

    • Authors: Vaisman , Alejandro (2014)

  • With this textbook, Vaisman and Zimányi deliver excellent coverage of data warehousing and business intelligence technologies ranging from the most basic principles to recent findings and applications. To this end, their work is structured into three parts. Part I describes “Fundamental Concepts” including multi-dimensional models; conceptual and logical data warehouse design and MDX and SQL/OLAP. Subsequently, Part II details “Implementation and Deployment,” which includes physical data warehouse design; data extraction, transformation, and loading (ETL) and data analytics. Lastly, Part III covers “Advanced Topics” such as spatial data warehouses; trajectory data warehouses; semantic technologies in data warehouses and novel technologies like Map Reduce, column-store databases and ...
  • Sách/Book

  • Introduction to : Machine Learning

    • Authors: Alpaydin, Ethem (2014)

  • Introduction to Machine Learning is a comprehensive textbook on the subject, covering a broad array of topics not usually included in introductory machine learning texts. Subjects include supervised learning; Bayesian decision theory; parametric, semi-parametric, and nonparametric methods; multivariate analysis; hidden Markov models; reinforcement learning; kernel machines; graphical models; Bayesian estimation; and statistical testing.