Автор: Sung Название: Algorithms in Bioinformatics ISBN: 1420070339 ISBN-13(EAN): 9781420070330 Издательство: Taylor&Francis Рейтинг: Цена: 13779.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Presents an introduction to the algorithmic techniques applied in bioinformatics. For each topic, this title details the biological motivation, defines the corresponding computational problems, and includes examples to illustrate each algorithm.
Описание: Constitutes the thoroughly refereed post-proceedings of the First International Symposium On Combinatorics, Algorithms, Probabilistic and Experimental Methodologies, ESCAPE 2007, held in Hangzhou, China in April 2007.
Автор: Jan Vahrenhold Название: Experimental Algorithms ISBN: 3642020100 ISBN-13(EAN): 9783642020100 Издательство: Springer Рейтинг: Цена: 9781.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Constitutes the refereed proceedings of the 8th International Symposium on Experimental and Efficient Algorithms, SEA 2009, held in Dortmund, Germany, in June 2009. This work presents research on experimental evaluation and engineering of algorithms, as well as in various aspects of computational optimization and its applications.
Автор: Goldberg Название: Experimental Algorithms ISBN: 3319388509 ISBN-13(EAN): 9783319388502 Издательство: Springer Рейтинг: Цена: 7826.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed proceedings of the 15th International Symposium on Experimental Algorithms, SEA 2016, held in St. Petersburg, Russia, in June 2016. The 25 revised full papers presented were carefully reviewed and selected from 54 submissions.
Автор: Tropea Название: Springer Handbook of Experimental Fluid Mechanics ISBN: 3540251413 ISBN-13(EAN): 9783540251415 Издательство: Springer Рейтинг: Цена: 38992.00 р. Наличие на складе: Поставка под заказ.
Описание: This Handbook consolidates authoritative and state-of-the-art information from the large number of disciplines used in Experimental Fluid Mechanics into a readable desk reference book. It comprises four parts: Experiments in Fluid Mechanics, Measurement of Primary Quantities, Specific Experimental Approaches, and Analyses and Post-Processing of Data. It has been prepared for physicists and engineers in research and development in universities, industry and in governmental research institutions or national laboratories. Both experimental methodology and techniques are covered fundamentally and for a wide range of application fields. A generous use of citations directs the reader to additional material on each subject.
A comprehensive introduction to the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications.
Machine learning is often used to build predictive models by extracting patterns from large datasets. These models are used in predictive data analytics applications including price prediction, risk assessment, predicting customer behavior, and document classification. This introductory textbook offers a detailed and focused treatment of the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications. Technical and mathematical material is augmented with explanatory worked examples, and case studies illustrate the application of these models in the broader business context.
After discussing the trajectory from data to insight to decision, the book describes four approaches to machine learning: information-based learning, similarity-based learning, probability-based learning, and error-based learning. Each of these approaches is introduced by a nontechnical explanation of the underlying concept, followed by mathematical models and algorithms illustrated by detailed worked examples. Finally, the book considers techniques for evaluating prediction models and offers two case studies that describe specific data analytics projects through each phase of development, from formulating the business problem to implementation of the analytics solution. The book, informed by the authors' many years of teaching machine learning, and working on predictive data analytics projects, is suitable for use by undergraduates in computer science, engineering, mathematics, or statistics; by graduate students in disciplines with applications for predictive data analytics; and as a reference for professionals.
Автор: Nancy A. Lynch Название: Distributed Algorithms, ISBN: 1558603484 ISBN-13(EAN): 9781558603486 Издательство: Elsevier Science Рейтинг: Цена: 20549.00 р. Наличие на складе: Поставка под заказ.
Описание: A guide to designing, implementing and analyzing distributed algorithms. It covers problems including resource allocation, communication, consensus among distributed processes, data consistency, deadlock detection, leader election and global snapshots.
Автор: Mukhopadhyay Sambit, Morris Edward, Arulkumaran Sa Название: Algorithms for Obstetrics and Gynaecology ISBN: 0199651396 ISBN-13(EAN): 9780199651399 Издательство: Oxford Academ Рейтинг: Цена: 8129.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Algorithms in Obstetrics and Gynaecology presents the core knowledge needed to tackle all situations in obstetrics and gynaecology, in a structured fashion. All algorithms are designed to support rapid decision making in the most clinically relevant situations to minimise the risks of a poor outcome.
Автор: Charles R. Plott Название: Handbook of Experimental Economics Results,1 ISBN: 0444826424 ISBN-13(EAN): 9780444826428 Издательство: Elsevier Science Рейтинг: Цена: 21054.00 р. Наличие на складе: Поставка под заказ.
Описание: Experimental methods in economics respond to circumstances that are not completely dictated by accepted theory or outstanding problems. This book reflects the spirit of adventure that experimentalists share and focuses on experiments in general rather than forcing an organization into traditional categories that do not fit.
The evolution of cognitive psychology, traced from the beginnings of a rigorous experimental psychology at the end of the nineteenth century to the "cognitive revolution" at the end of the twentieth, and the social and cultural contexts of its theoretical developments.
Modern psychology began with the adoption of experimental methods at the end of the nineteenth century: Wilhelm Wundt established the first formal laboratory in 1879; universities created independent chairs in psychology shortly thereafter; and William James published the landmark work Principles of Psychology in 1890. In A History of Modern Experimental Psychology, George Mandler traces the evolution of modern experimental and theoretical psychology from these beginnings to the "cognitive revolution" of the late twentieth century. Throughout, he emphasizes the social and cultural context, showing how different theoretical developments reflect the characteristics and values of the society in which they occurred. Thus, Gestalt psychology can be seen to mirror the changes in visual and intellectual culture at the turn of the century, behaviorism to embody the parochial and puritanical concerns of early twentieth-century America, and contemporary cognitive psychology as a product of the postwar revolution in information and communication.
After discussing the meaning and history of the concept of mind, Mandler treats the history of the psychology of thought and memory from the late nineteenth century to the end of the twentieth, exploring, among other topics, the discovery of the unconscious, the destruction of psychology in Germany in the 1930s, and the relocation of the field's "center of gravity" to the United States. He then examines a more neglected part of the history of psychology -- the emergence of a new and robust cognitive psychology under the umbrella of cognitive science.
Автор: Nadeau Jay Название: Introduction to experimental biophysics ISBN: 1439829535 ISBN-13(EAN): 9781439829530 Издательство: Taylor&Francis Рейтинг: Цена: 9645.00 р. Наличие на складе: Поставка под заказ.
Описание: Increasing numbers of physicists, chemists, and mathematicians are moving into biology, reading literature across disciplines, and mastering novel biochemical concepts. To succeed in this transition, researchers must understand on a practical level what is experimentally feasible. The number of experimental techniques in biology is vast and often specific to particular subject areas; nonetheless, there are a few basic methods that provide a conceptual underpinning for broad application. Introduction to Experimental Biophysics is the ideal benchtop companion for physical scientists interested in getting their hands wet. Assuming familiarity with basic physics and the scientific method but no previous background in biology or chemistry, this book provides: * A thorough description of modern experimental and analytical techniques used in biological and biophysical research * Practical information and step-by-step guidance on instrumentation and experimental design * Recipes for common solutions and media, lists of important reagents, and a glossary of biological terms used Developed for graduate students in biomedical engineering, physics, chemical engineering, chemistry, mathematics, and computer science, Introduction to Experimental Biophysics is an essential resource for scientists to overcoming conceptual and technical barriers to working in a biology wet lab.
Автор: Catherine C. McGeoch Название: Experimental Algorithms ISBN: 3540685480 ISBN-13(EAN): 9783540685487 Издательство: Springer Цена: 10480.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The Workshop on Experimental Algorithms, WEA, is intended to be an int- national forum for research on the experimental evaluation and engineering of algorithms, as well as in various aspects of computational optimization and its applications. The emphasis of the workshop is the use of experimental me- ods to guide the design, analysis, implementation, and evaluation of algorithms, heuristics, and optimization programs. WEA 2008 was held at the Provincetown Inn, Provincetown, MA, USA, on May 30 - June 1, 2008. This was the seventh workshop of the series, after Rome (2007), Menorca(2006), Santorini(2005), RiodeJaniero(2004), Asconia(2003), and Riga (2001). This volume contains all contributed papers accepted for presentation at the workshop. The 26 contributed papers were selected by the Program Committee onthebasisofatleastthreerefereereports, somecontributedbytrustedexternal referees. In addition to the 26 contributed papers, the program contained two invited talks. Camil Demetrescu, of the University of Rome "La Sapienza," spoke on "Visualization in Algorithm Engineering." David S. Johnson of AT & T Labs - Research, gave a talk on "Bin Packing: From Theory to Experiment and Back Again." We would like to thank the authors who responded to the call for papers, our invited speakers, the members of the ProgramCommittee, the external referees, and the Organizing Committee members for making this workshop possible.
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