String Algorithms in C: Efficient Text Representation and Search, Mailund Thomas

Автор: Daniel Ashlock
Название: Exploring Representation in Evolutionary Level Design
ISBN: 1681733323 ISBN-13(EAN): 9781681733326
Издательство: Mare Nostrum (Eurospan)
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Цена: 87780.00 T
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Описание: Automatic content generation is the production of content for games, web pages, or other purposes by procedural means. Search-based automatic content generation employs search-based algorithms to accomplish automatic content generation. This book presents a number of different techniques for search-based automatic content generation where the search algorithm is an evolutionary algorithm. The chapters treat puzzle design, the creation of small maps or mazes, the use of L-systems and a generalization of L-system to create terrain maps, the use of cellular automata to create maps, and, finally, the decomposition of the design problem for large, complex maps culminating in the creation of a map for a fantasy game module with designersupplied content and tactical features.The evolutionary algorithms used for the different types of content are generic and similar, with the exception of the novel sparse initialization technique are presented in Chapter 2. The points where the content generation systems vary are in the design of their fitness functions and in the way the space of objects being searched is represented. A large variety of different fitness functions are designed and explained, and similarly radically different representations are applied to the design of digital objects all of which are, essentially, maps for use in games.

Автор: Emmanouil Amolochitis
Название: Algorithms and Applications for Academic Search, Recommendation and Quantitative Association Rule Mining
ISBN: 8793609647 ISBN-13(EAN): 9788793609648
Издательство: Taylor&Francis
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Цена: 78590.00 T
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Описание: Algorithms and Applications for Academic Search, Recommendation and Quantitative Association Rule Mining presents novel algorithms for academic search, recommendation and association rule mining that have been developed and optimized for different commercial as well as academic purpose systems. Along with the design and implementation of algorithms, a major part of the work presented in the book involves the development of new systems both for commercial as well as for academic use. In the first part of the book the author introduces a novel hierarchical heuristic scheme for re-ranking academic publications retrieved from standard digital libraries. The scheme is based on the hierarchical combination of a custom implementation of the term frequency heuristic, a time-depreciated citation score and a graph-theoretic computed score that relates the paper’s index terms with each other. In order to evaluate the performance of the introduced algorithms, a meta-search engine has been designed and developed that submits user queries to standard digital repositories of academic publications and re-ranks the top-n results using the introduced hierarchical heuristic scheme. In the second part of the book the design of novel recommendation algorithms with application in different types of e-commerce systems are described. The newly introduced algorithms are a part of a developed Movie Recommendation system, the first such system to be commercially deployed in Greece by a major Triple Play services provider. The initial version of the system uses a novel hybrid recommender (user, item and content based) and provides daily recommendations to all active subscribers of the provider (currently more than 30,000). The recommenders that we are presenting are hybrid by nature, using an ensemble configuration of different content, user as well as item-based recommenders in order to provide more accurate recommendation results.The final part of the book presents the design of a quantitative association rule mining algorithm. Quantitative association rules refer to a special type of association rules of the form that antecedent implies consequent consisting of a set of numerical or quantitative attributes. The introduced mining algorithm processes a specific number of user histories in order to generate a set of association rules with a minimally required support and confidence value. The generated rules show strong relationships that exist between the consequent and the antecedent of each rule, representing different items that have been consumed at specific price levels. This research book will be of appeal to researchers, graduate students, professionals, engineers and computer programmers.

Автор: Andrej Brodnik; Alejandro Lopez-Ortiz; Venkatesh R
Название: Space-Efficient Data Structures, Streams, and Algorithms
ISBN: 3642402720 ISBN-13(EAN): 9783642402722
Издательство: Springer
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Цена: 46570.00 T
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Описание: ГЇВїВЅ This Festschrift volume, published in honor of J. Ian Munro, presents a good overall perspective of the last 40 years of research in algorithms and data structures. It also explores the future prospects in algorithm research.

Автор: Burkhard Monien; Thomas Ottmann
Название: Data Structures and Efficient Algorithms
ISBN: 3540554882 ISBN-13(EAN): 9783540554882
Издательство: Springer
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Цена: 69870.00 T
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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: Shukla KK
Название: Efficient Algorithms for Discrete Wavelet Transform
ISBN: 1447149408 ISBN-13(EAN): 9781447149408
Издательство: Springer
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Цена: 37260.00 T
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Описание: Due to its inherent time-scale locality characteristics, the discrete wavelet transform (DWT) has received considerable attention in signal/image processing. In the multistage DWT, coefficients are calculated recursively, and in addition to the wavelet decomposition stage, extra space is required to store the intermediate coefficients.

Автор: Gibbons
Название: Efficient Parallel Algorithms
ISBN: 0521388414 ISBN-13(EAN): 9780521388412
Издательство: Cambridge Academ
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Цена: 50680.00 T
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Описание: An introduction to the field of efficient parallel algorithms and to the techniques for efficient parallelization. It is self-contained and presumes no special knowledge of parallel computers or particular mathematics.

Автор: Domkin Vsevolod
Название: Programming Algorithms in LISP: Writing Efficient Programs with Examples in ANSI Common LISP
ISBN: 1484264274 ISBN-13(EAN): 9781484264270
Издательство: Springer
Цена: 32600.00 T
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Описание: IntroductionAlgorithmic ComplexityA Crash Course in LispEssential Data StructuresArraysLinked ListsKey-ValuesDerivative Data StructuresTreesGraphsStringsSelected AlgorithmsApproximationCompressionSynchronizationAfterword

Автор: Lu?s Filipe Ros?rio Lucas; Eduardo Ant?nio Barros
Название: Efficient Predictive Algorithms for Image Compression
ISBN: 3319511793 ISBN-13(EAN): 9783319511795
Издательство: Springer
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Цена: 111790.00 T
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Описание: This book discusses efficient prediction techniques for the current state-of-the-art High Efficiency Video Coding (HEVC) standard, focusing on the compression of a wide range of video signals, such as 3D video, Light Fields and natural images.

Автор: Dan Gusfield
Название: Integer Linear Programming in Computational and Systems Biology: An Entry-Level Text and Course
ISBN: 1108421768 ISBN-13(EAN): 9781108421768
Издательство: Cambridge Academ
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Цена: 60190.00 T
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Описание: Integer linear programming is a versatile modeling and optimization technique with potential to transform biological computation. This hands-on text, designed for students, researchers, and professionals in both biology and computational fields, demonstrates applications in genomics, RNA and protein folding, DNA sequencing, phylogenetics, and more.

Автор: Andr?s Bruhn; Thomas Pock; Xue-Cheng Tai
Название: Efficient Algorithms for Global Optimization Methods in Computer Vision
ISBN: 3642547737 ISBN-13(EAN): 9783642547737
Издательство: Springer
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Цена: 37270.00 T
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Описание: This book constitutes the thoroughly refereed post-conference proceedings of the International Dagstuhl-Seminar on Efficient Algorithms for Global Optimization Methods in Computer Vision, held in Dagstuhl Castle, Germany, in November 2011.

Автор: Jamro Marcin
Название: C# Data Structures and Algorithms: Explore the possibilities of C# for developing a variety of efficient applications
ISBN: 1788833732 ISBN-13(EAN): 9781788833738
Издательство: Неизвестно
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Цена: 67430.00 T
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Описание: Data structures allow organizing data efficiently. Their suitable implementation can provide a complete solution that acts like reusable code. In this book, you will learn how to use various data structures while developing in the C# language as well as how to implement some of the most common algorithms used with such data structures.

Автор: Noble Safiya Umoja
Название: Algorithms of Oppression: How Search Engines Reinforce Racism
ISBN: 1479837245 ISBN-13(EAN): 9781479837243
Издательство: Mare Nostrum (Eurospan)
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Цена: 27590.00 T
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Описание: As seen in Wired and Time A revealing look at how negative biases against women of color are embedded in search engine results and algorithms Run a Google search for "black girls"--what will you find? "Big Booty" and other sexually explicit terms are likely to come up as top search terms. But, if you type in "white girls," the results are radically different. The suggested porn sites and un-moderated discussions about "why black women are so sassy" or "why black women are so angry" presents a disturbing portrait of black womanhood in modern society. In Algorithms of Oppression, Safiya Umoja Noble challenges the idea that search engines like Google offer an equal playing field for all forms of ideas, identities, and activities. Data discrimination is a real social problem; Noble argues that the combination of private interests in promoting certain sites, along with the monopoly status of a relatively small number of Internet search engines, leads to a biased set of search algorithms that privilege whiteness and discriminate against people of color, specifically women of color. Through an analysis of textual and media searches as well as extensive research on paid online advertising, Noble exposes a culture of racism and sexism in the way discoverability is created online. As search engines and their related companies grow in importance--operating as a source for email, a major vehicle for primary and secondary school learning, and beyond--understanding and reversing these disquieting trends and discriminatory practices is of utmost importance. An original, surprising and, at times, disturbing account of bias on the internet, Algorithms of Oppression contributes to our understanding of how racism is created, maintained, and disseminated in the 21st century. Safiya Noble discusses search engine bias in an interview with USC Annenberg School for Communication and Journalism