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Semisupervised Learning For Computational Linguistics

by Steven Abney

90,09€ + 10% CARD

 Provides a broad treatment of the theory and linguistic applications of semisupervised methods. This book discusses natural language processing methods, such as self-training and co-training. It focuses on machine learning techniques, including the boundary-oriented methods of perceptrons, boosting, SVMs, and the null-category noise model.
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Visualization And Verbalization Of Data

74,19€ + 10% CARD

 Visualization and Verbalization of Data shows how correspondence analysis and related techniques enable the display of data in graphical form, which results in the verbalization of the structures in data. Renowned researchers in the field trace the history of these techniques and cover their current applications.The first part of the book explains
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Design And Modeling For Computer Experiments

by Agus Sudjianto, Kai-Tai Fang e Runze Li

67,56€ + 10% CARD

 Combines a statistical approach with engineering applications and delineates the steps for successfully modeling a problem and analyzing it to find the solution. This work introduces basic concepts and examines computer experiment design. It presents various modeling techniques and discusses model interpretation, including sensitivity analysis.
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Microarray Image Analysis - An Algorithmic Approach

by Karl Fraser, Xiaohui Liu e Zidong Wang

104,66€ + 10% CARD

 To harness the high-throughput potential of DNA microarray technology, it is crucial that the analysis stages of the process are decoupled from the requirements of operator assistance. Microarray Image Analysis: An Algorithmic Approach presents an automatic system for microarray image processing to make this decoupling a reality. The proposed syste
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Correspondence Analysis And Data Coding With Java And R

by Fionn Murtagh

90,09€ + 10% CARD

 Developed by Jean-Paul Benzerci, correspondence analysis as a framework for analyzing data quickly found widespread popularity in Europe. This work presents a theoretical overview of the mathematics and underlying algorithms of correspondence analysis and hierarchical clustering.
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Foundations Of Statistical Algorithms - With References To R Packages

by Claus Weihs, Olaf Mersmann e Uwe Ligges

90,09€ + 10% CARD

 A new and refreshingly different approach to presenting the foundations of statistical algorithms, Foundations of Statistical Algorithms: With References to R Packages reviews the historical development of basic algorithms to illuminate the evolution of today''s more powerful statistical algorithms. It emphasizes recurring themes in all statistical
ENGLISH

Pattern Recognition Algorithms For Data Mining

by Pabitra Mitra e Sankar K. Pal

87,44€ + 10% CARD

 Addresses different pattern recognition (PR) tasks in a unified framework with both theoretical and experimental results. Organized into eight chapters, the book begins by introducing PR, data mining, and knowledge discovery concepts. It concludes by highlighting the significance of granular computing for different mining tasks in a soft paradigm.
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Introduction To Data Technologies

by Paul Murrell

104,66€ + 10% CARD

 Providing key information on how to work with research data, Introduction to Data Technologies presents ideas and techniques for performing critical, behind-the-scenes tasks that take up so much time and effort yet typically receive little attention in formal education. With a focus on computational tools, the book shows readers how to improve thei
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Computational Statistics Handbook With Matlab

by Angel R. Martinez e Wendy L. Martinez

68,89€ + 10% CARD

 A Strong Practical Focus on Applications and AlgorithmsComputational Statistics Handbook with MATLAB, Third Edition covers today''s most commonly used techniques in computational statistics while maintaining the same philosophy and writing style of the bestselling previous editions. The text keeps theoretical concepts to a minimum, emphasizing the i
ENGLISH

Bayesian Artificial Intelligence

by Ann E. Nicholson e Kevin B. Korb

64,91€ + 10% CARD

 The second edition of this bestseller provides a practical and accessible introduction to the main concepts, foundation, and applications of Bayesian networks. This edition contains a new chapter on Bayesian network classifiers and a new section on object-oriented Bayesian networks, along with new applications and case studies. It includes a new section that addresses foundational problems with causal discovery and Markov blanket discovery and a new section that covers methods of evaluating causal discovery programs. The book also offers more coverage on the uses of causal interventions to understand and reason with causal Bayesian networks. Supplemental materials are available on the book''s website.
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Statistics In Matlab - A Primer

by Moonjung Cho e Wendy L. Martinez

72,86€ + 10% CARD

 This primer provides an introduction to MATLABÂ® version 8 for statistics. It covers capabilities in the Statistics Toolbox. The student version presents discusses how MATLAB can be used to analyze data, how to determine what method should be used for analysis and provides access to data sets.
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R Programming For Bioinformatics

by Robert Gentleman

132,49€ + 10% CARD

 Due to its data handling and modeling capabilities as well as its flexibility, R is becoming the most widely used software in bioinformatics. R Programming for Bioinformatics explores the programming skills needed to use this software tool for the solution of bioinformatics and computational biology problems.Drawing on the author''s first-hand exper
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Bayesian Artificial Intelligence

by Ann E. (Monash University, Clayton, Victoria, Australia) Nicholson e Kevin B. (Monash University, Clayton, Victoria, Australia) Korb

66,23€ + 10% CARD

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 The second edition of this bestseller provides a practical and accessible introduction to the main concepts, foundation, and applications of Bayesian networks. This edition contains a new chapter on Bayesian network classifiers and a new section on object-oriented Bayesian networks, along with new applications and case studies. It includes a new
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Combinatorial Inference In Geometric Data Analysis

by Brigitte (Map5 - Universite Paris Descartes, France) Le Roux, Jean-Luc (Universite Paris 13, Villetaneuse, France) Durand e Solene (Coheris Spad, Suresnes, France) Bienaise

63,53€ + 10% CARD

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 Combinatorial Inference in Geometric Data Analysis gives an overview of multidimensional statistical inference methods applicable to clouds of points that make no assumption on the process of generating data or distributions, and that are not based on random modelling but on permutation procedures recasting in a combinatorial fr
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Time Series Clustering And Classification

by Elizabeth Ann Maharaj, Jorge (Centre For Applied Mathematics And Economics And Iseg, University Of Lisbon, Portugal) Caiado e Pierpaolo D'Urso

68,93€ + 10% CARD

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 This book includes relevant developments on observation-based, feature-based and model-based traditional and fuzzy clustering methods, feature-based and model-based classification methods, and machine learning methods. It presents a broad and self-contained overview of techniques for both researchers and students.
ENGLISH

Design And Modeling For Computer Experiments

by Agus (Bank Of America, Charlotte, North Carolina, Usa) Sudjianto, Kai-Tai (Hong Kong Baptist University, Kowloon) Fang e Runze (Pennsylvania State University, University Park, Usa) Li

68,93€ + 10% CARD

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 This book blends a modern statistical approach with extensive engineering applications and clearly delineates the steps for successfully modeling a problem and analyzing it to find the solution. It introduces basic concepts, then fully examines computer experiment design. The authors present the popular space-filling designs - like Latin hypercube
ENGLISH

Bayesian Regression Modeling With Inla

by Julian J. (University Of Bath, Uk) Faraway, Xiaofeng (Cleveland Clinic Lerner College Of Medicine, Case Western Reserve University, Usa) Wang e Yu (Department Of Statistics And Cis, Baruch College, Ny, Usa) Ryan Yue

70,29€ + 10% CARD

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 This book addresses the applications of extensively used regression models under a Bayesian framework. It emphasizes efficient Bayesian inference through integrated nested Laplace approximations (INLA) and real data analysis using R. The INLA method directly computes very accurate approximations to the posterior marginal distributions and is a p
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Exploratory Multivariate Analysis By Example Using R

by Francois Husson, Jérôme Pagès e Sebastien Le

70,21€ + 10% CARD

 Exploratory Multivariate Analysis by Example Using R, Second Edition focuses on four fundamental methods of multivariate exploratory data analysis that are most suitable for applications. It covers principal component analysis (PCA) when variables are quantitative, correspondence analysis (CA) and multiple correspondence analysis.
ENGLISH

Time Series Clustering And Classification

by Elizabeth Ann Maharaj, Jorge Caiado e Pierpaolo D'Urso

67,56€ + 10% CARD

 This book includes relevant developments on observation-based, feature-based and model-based traditional and fuzzy clustering methods, feature-based and model-based classification methods, and machine learning methods. It presents a broad and self-contained overview of techniques for both researchers and students.
ENGLISH

Textual Data Science With R

by Monica Becue-Bertaut

68,89€ + 10% CARD

 Textual Statistics with R comprehensively covers the main multidimensional methods in textual statistics supported by a specially-written package in R. Of interest to anyone from practitioners needing to extract information from texts to students in the field of massive data, where the ability to process textual data is becoming essential.
ENGLISH

Combinatorial Inference In Geometric Data Analysis

by Brigitte Le Roux, Jean-Luc Durand e Solene Bienaise

62,26€ + 10% CARD

 Combinatorial Inference in Geometric Data Analysis gives an overview of multidimensional statistical inference methods applicable to clouds of points that make no assumption on the process of generating data or distributions, and that are not based on random modelling but on permutation procedures recasting in a combinatorial framework.
ENGLISH

Time Series Clustering And Classification

by Elizabeth Ann Maharaj, Jorge (Centre For Applied Mathematics And Economics And Iseg, University Of Lisbon, Portugal) Caiado e Pierpaolo D'Urso

236,58€ + 10% CARD

free shipping

 This book includes relevant developments on observation-based, feature-based and model-based traditional and fuzzy clustering methods, feature-based and model-based classification methods, and machine learning methods. It presents a broad and self-contained overview of techniques for both researchers and students.
ENGLISH

Combinatorial Inference In Geometric Data Analysis

by Brigitte (Map5 - Universite Paris Descartes, France) Le Roux, Jean-Luc (Universite Paris 13, Villetaneuse, France) Durand e Solene (Coheris Spad, Suresnes, France) Bienaise

162,23€ + 10% CARD

free shipping

 Combinatorial Inference in Geometric Data Analysis gives an overview of multidimensional statistical inference methods applicable to clouds of points that make no assumption on the process of generating data or distributions, and that are not based on random modelling but on permutation procedures recasting in a combinatorial framework.
ENGLISH

Exploratory Data Analysis With Matlab

by Angel R. Martinez, Jeffrey Solka e Wendy L. Martinez

68,89€ + 10% CARD

 This book describes the various methods used for exploratory data analysis with an emphasis on MATLAB implementation. It covers approaches for visualizing data, data tours and animations, clustering (or unsupervised learning), dimensionality reduction, and more. A set of graphical user interfaces allows users to apply the ideas to their own data.
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