Автор: Haines, Duane E., Название: Neuroanatomy in Clinical Context, International Edition 9e ISBN: 146983202X ISBN-13(EAN): 9781469832029 Издательство: Lippincott Williams & Wilkins Рейтинг: Цена: 35470.00 T Наличие на складе: Невозможна поставка. Описание: Neuroanatomy in Clinical Context, Ninth Edition provides everything the student needs to master the anatomy of the central nervous system, all in a clinical setting. Clear explanations;abundant MRI, CT, MRA, and MRV images; full-color photographs and illustrations; hundreds of review questions; and supplemental online resources combine to provide a sound anatomical base for integrating neurobiological and clinical concepts. In thus applying neuroanatomy clinically, the atlas ensures student preparedness for exams and for rotations. This authoritative approach—combined with such salutary features as full-color stained sections, extensive cranial nerve cross-referencing, and systems neurobiology coverage—sustains the legacy of this revolutionary teaching and learning tool as the neuroanatomy atlas.New and hallmark features elucidate neuroanatomy and systems neurobiology for course success!NEW! Chapter on Herniation Syndromes decodes the elegant relationship between brain injury and resulting deficit.NEW! Clinical information integrated throughout the text is screened in blue for quick identification on the page.NEW! Enhanced clinical images emphasize clarity and detail like never before, including full-color images replacing many in black and white, higher-resolution brain scans, and reprocessed spinal cord and brainstem images.MRIs complement full-color anatomical illustrations, allowing for visualization of structures both as they appear to the unaided eye and on imaging studies.Unique, full-color illustrations integrate clinical images of representative lesions with the corresponding deficits highlighted.Full-color stained sections facilitate the easy identification of anatomical features.Dozens of pathway drawings superimposed over MRIs connect structure with function of neural pathways.Located on thePoint, this atlas’s companion website offers a variety of supplementallearning resources to maximize study and review time!Question bank featuring over 280 USMLE-style and chapter-review style questionsBonus dissection photographs and brain slice series
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: Faith Ellen; Antonina Kolokolova; J?rg-R?diger Sac Название: Algorithms and Data Structures ISBN: 3319621262 ISBN-13(EAN): 9783319621265 Издательство: Springer Рейтинг: Цена: 74530.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book constitutes the refereed proceedings of the 15th Algorithms and Data Structures Symposium, WADS 2017, held in St. John`s, NL, Canada, in July/August 2017. The 49 full papers presented together with 3 abstracts of invited talks were carefully reviewed and selected from 109 submissions.
Автор: Goodrich Michael T. Название: Data Structures and Algorithms in Java ISBN: 1118808576 ISBN-13(EAN): 9781118808573 Издательство: Wiley Рейтинг: Цена: 50680.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The design and analysis of efficient data structures has long been recognized as a key component of the Computer Science curriculum. Goodrich and Tomassia`s approach to this classic topic is based on the object-oriented paradigm as the framework of choice for the design of data structures.
Автор: Amaru Название: New Data Structures and Algorithms for Logic Synthesis and Verification ISBN: 3319431730 ISBN-13(EAN): 9783319431734 Издательство: Springer Рейтинг: Цена: 81050.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book introduces new logic primitives for electronic design automation tools. The author approaches fundamental EDA problems from a different, unconventional perspective, in order to demonstrate the key role of rethinking EDA solutions in overcoming technological limitations of present and future technologies. The author discusses techniques that improve the efficiency of logic representation, manipulation and optimization tasks by taking advantage of majority and biconditional logic primitives. Readers will be enabled to accelerate formal methods by studying core properties of logic circuits and developing new frameworks for logic reasoning engines.
Автор: Frank Dehne; J?rg-R?diger Sack; Ulrike Stege Название: Algorithms and Data Structures ISBN: 3319218395 ISBN-13(EAN): 9783319218397 Издательство: Springer Рейтинг: Цена: 74530.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The Algorithms and Data Structures Symposium - WADS (formerly Workshop on Algorithms And Data Structures), which alternates with the Scandinavian Workshop on Algorithm Theory, is intended as a forum for researchers in the area of design and analysis of algorithms and data structures.
Автор: Abel Gomes; Irina Voiculescu; Joaquim Jorge; Brian Название: Implicit Curves and Surfaces: Mathematics, Data Structures and Algorithms ISBN: 1447158776 ISBN-13(EAN): 9781447158776 Издательство: Springer Рейтинг: Цена: 65170.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: In presenting the mathematics, computational methods and data structures, as well as the algorithms needed to render implicit curves and surfaces, the authors show how implicit objects can easily describe smooth, intricate, and shapes that articulate.
Автор: Christoph Meinel; Thorsten Theobald Название: Algorithms and Data Structures in VLSI Design ISBN: 3540644865 ISBN-13(EAN): 9783540644866 Издательство: Springer Рейтинг: Цена: 65170.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This is a presentation of the theory and practice of chip design using ordered binary decision diagrams (OBDD), a method for simulating and testing complex chips. The text examines techniques such as chip error recognition, maximal integration and deep submicron.
Автор: Burkhard Monien; Thomas Ottmann Название: Data Structures and Efficient Algorithms ISBN: 3540554882 ISBN-13(EAN): 9783540554882 Издательство: Springer Рейтинг: Цена: 69870.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This volume contains a series of research papers which address fundamental data structures, computational geometry, graph algorithms, computer graphics, spatial databases, the design of parallel architectures and routeing strategies and the design of distributed algorithms for solving problems.
Автор: Frank Dehne; Roberto Solis-Oba; J?rg-R?diger Sack Название: Algorithms and Data Structures ISBN: 3642401031 ISBN-13(EAN): 9783642401039 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Algorithms and data structures in bioinformatics.- Algorithms and data structures in combinatorics.- Algorithms and data structures in computational geometry.- Algorithms and data structures in databases.- Algorithms and data structures in graphics.- Parallel and distributed computing.
Автор: John C. Cherniavsky; J.A. Storer Название: An Introduction to Data Structures and Algorithms ISBN: 1461266017 ISBN-13(EAN): 9781461266013 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Data structures and algorithms are presented at the college level in a highly accessible format that presents material with one-page displays in a way that will appeal to both teachers and students. The thirteen chapters cover: Models of Computation, Lists, Induction and Recursion, Trees, Algorithm Design, Hashing, Heaps, Balanced Trees, Sets Over a Small Universe, Graphs, Strings, Discrete Fourier Transform, Parallel Computation.
Key features:
* Complicated concepts are expressed clearly in a single page with minimal notation and without the "clutter" of the syntax of a particular programming language; algorithms are presented with self-explanatory "pseudo-code."
* Chapters 1-4 focus on elementary concepts, the exposition unfolding at a slower pace. Sample exercises with solutions are provided. Sections that may be skipped for an introductory course are starred. Requires only some basic mathematics background and some computer programming experience.
* Chapters 5-13 progress at a faster pace. The material is suitable for undergraduates or first-year graduates who need only review Chapters 1-4.
* Chapters 1-4. This book may be used for a one-semester introductory course (based on Chapters 1-4 and portions of the chapters on algorithm design, hashing, and graph algorithms) and for a one-semester advanced course that starts at Chapter 5. A yearlong course may be based on the entire book.
* Sorting, often perceived as rather technical, is not treated as a separate chapter, but is used in many examples (including bubble sort, merge sort, tree sort, heap sort, quick sort, and several parallel algorithms). Also, lower bounds on sorting by comparisons are included with the presentation of heaps in the context of lower bounds for comparison-based structures.
* Chapter 13 on parallel models of computation is something of a mini-book itself, and a good way to end a course. Although it is not clear what parallel architectures will prevail in the future, the idea is to further teach fundamental concepts in the design of algorithms by exploring classic models of parallel computation, including the PRAM, generic PRAM simulation, HC/CCC/Butterfly, the mesh, and parallel hardware area-time tradeoffs (with many examples).
Apart from classroom use, this book serves as a good reference on the subject of data structures and algorithms. Its page-at-a-time format makes it easy to review material that the reader has studied in the past.
Автор: John Beidler Название: Data Structures and Algorithms ISBN: 1461273129 ISBN-13(EAN): 9781461273127 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
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