This book grew out of our lectures given in the Oberseminar on 'Cod ing Theory and Number Theory' at the …
Make the most of the common architectures used for deriving meaningful data from sensors. This book provides you with the …
Topology-based methods are of increasing importance in the analysis and visualization of datasets from a wide variety of scientific domains …
This textbook on practical data analytics unites fundamental principles, algorithms, and data. Algorithms are the keystone of data analytics and …
Key FeaturesGet to know seven algorithms for your data science needs in this concise, insightful guideEnsure you’re confident in the …
The proceedings of ECML/PKDD2003 are published in two volumes: the P- ceedings of the 14th European Conference on Machine Learning …
Drawing on the authors’ two decades of experience in applied modeling and data mining, Foundations of Predictive Analytics presents the …
"Utility-Based Learning from Data is an excellent treatment of data-driven statistics for decision-making. Friedman and Sandow lucidly describe the connections …
This book introduces Web developers to the advanced topic of machine learning and statistics in a clear and concise way, …
The interplay between optimization and machine learning is one of the most important developments in modern computational science. Optimization formulations …
Advancements in the technology and availability of data sources have led to the `Big Data' era. Working with large data …
A friendly introduction to the most usefulalgorithms written in simple, intuitive English The revised and updated second edition of Essential …
This book revolutionizes your programming skills with meticulously solved challenges, practical strategies, and expert insights. From beginners to pros, master …
There are many books on data structures and algorithms, including some with useful libraries of C functions. Mastering Algorithms with …
Advanced Algorithms and Data Structures introduces a collection of algorithms for complex programming challenges in data analysis, machine learning, and …
Game programmers, check out the only book on data structures written especially for you! Described in layman's terms, this book …
Meh, mark should be 2... 5 is an accident. I will be brief. I only have 4.5 years experience as …
This book can be used as an experiment and reference book for algorithm design courses, as well as a training …
Unlock the power of algorithms to optimize computer programming. Instant delivery. Top rated Programming products. Key Features • Develop advanced …
The field of multidimensional data structures is large and growing very quickly. Here, for the first time, is a thorough …
The book gives an accessible account of modern probabilistic methods for analyzing combinatorial structures and algorithms. It will be an …
Front Cover; List of Algorithms; Contents; Instructor's Preface; Student's Preface; Chapter Summaries; Pathways Through the Book; Problem Difficulty Rating; Symbols, …
Symmetric multiprocessors (SMPs) dominate the high-end server market and are currently the primary candidate for constructing large scale multiprocessor systems. …
A comprehensive review of an area of machine learning that deals with the use of unlabeled data in classification problems: …
While labeled data is expensive to prepare, ever increasing amounts of unlabeled data is becoming widely available. In order to …
In spite of the rapid growth of interest in the computer analysis of language, this book provides an integrated introduction …
This new textbook examines the motivations and the different algorithms for automatic document summarization (ADS). We performed a recent state …
Foundations and Trends in Information Retrieval Vol. 5, Nos. 2–3 (2011) 103–233Contents:IntroductionTypes of SummariesHow do Summarization Systems Work?Evaluation IssuesWhere Does …
Offers coverage of new advances in spoken language processing in computer science, drawing on the most recent discoveries in computer …
This book brings together the recent research advances in the field of graph theory for analyzing large-scale social networks. It …
This book presents the state-of-the-art applications of machine learning in the finance domain with a focus on financial product modeling, …
Linear Genetic Programming examines the evolution of imperative computer programs written as linear sequences of instructions. In contrast to functional …
Parallel-Algorithms for Regular Architectures is the first book to concentrate exclusively on algorithms and paradigms for programming parallel computers such …
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