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Connectionist Representations of Tonal Music Discovering Musical Patterns by…
Intended to introduce readers to the use of artificial neural networks in the study of music, this volume contains numerous case studies and research findings that address problems related to identifying scales, keys, classifying musical chords, and learning jazz chord progressions. A detailed analysis of the internal structure of trained networks could yield important contributions to the fiel…
- Edition
- -
- ISBN/ISSN
- 9781771992206.01
- Collation
- -
- Series Title
- -
- Call Number
- 6 x 9, 312 pages
Advances in Statistical Models for Data Analysis
This edited volume focuses on recent research results in classification, multivariate statistics and machine learning and highlights advances in statistical models for data analysis. The volume provides both methodological developments and contributions to a wide range of application areas such as economics, marketing, education, social sciences and environment. The papers in this volume were f…
- Edition
- Ed. 1
- ISBN/ISSN
- 978-3-319-17377-1
- Collation
- VIII, 268
- Series Title
- Studies in Classification, Data Analysis, and Knowledge Organization
- Call Number
- 519.5 ADV a
History of Nordic Computing 4
This book constitutes the refereed post-proceedings of the 4th IFIP WG 9.7 Conference on the History of Nordic Computing, HiNC 4, held in Copenhagen, Denmark, in August 2014. The 37 revised full papers were carefully reviewed and selected for inclusion in this volume. The papers focus on innovative ICT milestones that transformed the nordic societies and on the new ideas, systems and solutions …
- Edition
- -
- ISBN/ISSN
- 978-3-319-17144-9
- Collation
- XIV, 387
- Series Title
- -
- Call Number
- 004 HIS
Model Choice in Nonnested Families
This book discusses the problem of model choice when the statistical models are separate, also called nonnested. Chapter 1 provides an introduction, motivating examples and a general overview of the problem. Chapter 2 presents the classical or frequentist approach to the problem as well as several alternative procedures and their properties. Chapter 3 explores the Bayesian approach, the limitat…
- Edition
- 1
- ISBN/ISSN
- 978-3-662-53735-0
- Collation
- X, 96; 3 b/w illustrations, 2 illustrations in colour
- Series Title
- SpringerBriefs in Statistics
- Call Number
- -
Advances in Cryptology – ASIACRYPT 2015: 21st International Conference on t…
The two-volume set LNCS 9452 and 9453 constitutes the refereed proceedings of the 21st International Conference on the Theory and Applications of Cryptology and Information Security, ASIACRYPT 2015, held in Auckland, New Zealand, in November/December 2015. The 64 revised full papers and 3 invited talks presented were carefully selected from 251 submissions. They are organized in topical sect…
- Edition
- Ed. 1
- ISBN/ISSN
- 978-3-662-48800-3
- Collation
- XXV, 802
- Series Title
- Lecture Notes in Computer Science
- Call Number
- 518.1
Advances in Cryptology -- ASIACRYPT 2015: 21st International Conference on th…
The two-volume set LNCS 9452 and 9453 constitutes the refereed proceedings of the 21st International Conference on the Theory and Applications of Cryptology and Information Security, ASIACRYPT 2015, held in Auckland, New Zealand, in November/December 2015. The 64 revised full papers and 3 invited talks presented were carefully selected from 251 submissions. They are organized in topical sect…
- Edition
- Ed. 1
- ISBN/ISSN
- 978-3-662-48797-6
- Collation
- XXV, 810
- Series Title
- Lecture Notes in Computer Science
- Call Number
- 518.1
Connectionist Representations of Tonal Music Discovering Musical Patterns by…
Intended to introduce readers to the use of artificial neural networks in the study of music, this volume contains numerous case studies and research findings that address problems related to identifying scales, keys, classifying musical chords, and learning jazz chord progressions. A detailed analysis of the internal structure of trained networks could yield important contributions to the fiel…
- Edition
- -
- ISBN/ISSN
- 9781771992206.01
- Collation
- -
- Series Title
- -
- Call Number
- 6 x 9, 312 pages
Lectures on the Nearest Neighbor Method
s text presents a wide-ranging and rigorous overview of nearest neighbor methods, one of the most important paradigms in machine learning. Now in one self-contained volume, this book systematically covers key statistical, probabilistic, combinatorial and geometric ideas for understanding, analyzing and developing nearest neighbor methods. Gérard Biau is a professor at Université Pierre et Ma…
- Edition
- -
- ISBN/ISSN
- 978-3-319-25388-6
- Collation
- -
- Series Title
- -
- Call Number
- -
Advances and Challenges in Parametric and Semi-parametric Analysis for Correl…
This proceedings volume contains eight selected papers that were presented in the International Symposium in Statistics (ISS) 2015 On Advances in Parametric and Semi-parametric Analysis of Multivariate, Time Series, Spatial-temporal, and Familial-longitudinal Data, held in St. John’s, Canada from July 6 to 8, 2015. The main objective of the ISS-2015 was the discussion on advances and challeng…
- Edition
- Ed. 1
- ISBN/ISSN
- 978-3-319-31260-6
- Collation
- XIX, 256
- Series Title
- Lecture Notes in Statistics
- Call Number
- 005.55 ADV a
Excel 2016 for Engineering Statistics
This book shows the capabilities of Microsoft Excel in teaching engineering statistics effectively. Similar to the previously published Excel 2013 for Engineering Statistics, this book is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical engineering problems. If understanding statistics isn’t your strongest suit, you are not especi…
- Edition
- -
- ISBN/ISSN
- 978-3-319-39182-3
- Collation
- 1 b/w illustrations, 161 illustrations in colour
- Series Title
- -
- Call Number
- -
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