Ensemble


Ensemble
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The Ensemble


The Ensemble
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Author : Aja Gabel
language : en
Publisher: Penguin
Release Date : 2018-05-15

The Ensemble written by Aja Gabel and has been published by Penguin this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-05-15 with Fiction categories.


"Pitch-perfect." —People "You won’t be able to quit these characters." —goop The addictive novel about four young friends navigating the cutthroat world of classical music and their complex relationships with each other, as ambition, passion, and love intertwine over the course of their lives. Jana. Brit. Daniel. Henry. They would never have been friends if they hadn't needed each other. They would never have found each other except for the art which drew them together. They would never have become family without their love for the music, for each other. Brit is the second violinist, a beautiful and quiet orphan; on the viola is Henry, a prodigy who's always had it easy; the cellist is Daniel, the oldest and an angry skeptic who sleeps around; and on first violin is Jana, their flinty, resilient leader. Together, they are the Van Ness Quartet. After the group's youthful, rocky start, they experience devastating failure and wild success, heartbreak and marriage, triumph and loss, betrayal and enduring loyalty. They are always tied to each other - by career, by the intensity of their art, by the secrets they carry, by choosing each other over and over again. Following these four unforgettable characters, Aja Gabel's debut novel gives a riveting look into the high-stakes, cutthroat world of musicians, and of lives made in concert. The story of Brit and Henry and Daniel and Jana, The Ensemble is a heart-skipping portrait of ambition, friendship, and the tenderness of youth.



Ensemble Learning Algorithms With Python


Ensemble Learning Algorithms With Python
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Author : Jason Brownlee
language : en
Publisher: Machine Learning Mastery
Release Date : 2021-04-26

Ensemble Learning Algorithms With Python written by Jason Brownlee and has been published by Machine Learning Mastery this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-26 with Computers categories.


Predictive performance is the most important concern on many classification and regression problems. Ensemble learning algorithms combine the predictions from multiple models and are designed to perform better than any contributing ensemble member. Using clear explanations, standard Python libraries, and step-by-step tutorial lessons, you will discover how to confidently and effectively improve predictive modeling performance using ensemble algorithms.



Ensemble Learning Pattern Classification Using Ensemble Methods Second Edition


Ensemble Learning Pattern Classification Using Ensemble Methods Second Edition
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Author : Lior Rokach
language : en
Publisher: World Scientific
Release Date : 2019-02-27

Ensemble Learning Pattern Classification Using Ensemble Methods Second Edition written by Lior Rokach and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02-27 with Computers categories.


This updated compendium provides a methodical introduction with a coherent and unified repository of ensemble methods, theories, trends, challenges, and applications. More than a third of this edition comprised of new materials, highlighting descriptions of the classic methods, and extensions and novel approaches that have recently been introduced.Along with algorithmic descriptions of each method, the settings in which each method is applicable and the consequences and tradeoffs incurred by using the method is succinctly featured. R code for implementation of the algorithm is also emphasized.The unique volume provides researchers, students and practitioners in industry with a comprehensive, concise and convenient resource on ensemble learning methods.



Wind Power Ensemble Forecasting


Wind Power Ensemble Forecasting
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Author : André Gensler
language : en
Publisher: kassel university press GmbH
Release Date : 2019-01-16

Wind Power Ensemble Forecasting written by André Gensler and has been published by kassel university press GmbH this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-16 with Weights and measures categories.


This thesis describes performance measures and ensemble architectures for deterministic and probabilistic forecasts using the application example of wind power forecasting and proposes a novel scheme for the situation-dependent aggregation of forecasting models. For performance measures, error scores for deterministic as well as probabilistic forecasts are compared, and their characteristics are shown in detail. For the evaluation of deterministic forecasts, a categorization by basic error measure and normalization technique is introduced that simplifies the process of choosing an appropriate error measure for certain forecasting tasks. Furthermore, a scheme for the common evaluation of different forms of probabilistic forecasts is proposed. Based on the analysis of the error scores, a novel hierarchical aggregation technique for both deterministic and probabilistic forecasting models is proposed that dynamically weights individual forecasts using multiple weighting factors such as weather situation and lead time dependent weighting. In the experimental evaluation it is shown that the forecasting quality of the proposed technique is able to outperform other state of the art forecasting models and ensembles.



Conducting And Rehearsing The Instrumental Music Ensemble


Conducting And Rehearsing The Instrumental Music Ensemble
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Author : John F. Colson
language : en
Publisher: Scarecrow Press
Release Date : 2012-08-09

Conducting And Rehearsing The Instrumental Music Ensemble written by John F. Colson and has been published by Scarecrow Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-08-09 with Music categories.


Conducting and Rehearsing the Instrumental Music Ensemble is the most comprehensive guide on the rehearsalprocess for conducting instrumental music ensembles. Ideal for the advanced instrumental music conductor seeking to look beyond basic conducting technique, this work breaks the multidimensional activity of working with an ensemble, orchestra, or band into its constituent components. Advanced students of conducting will find within the full range of conducting activities: • Chapters on the infrastructure of the rehearsal, the rehearsal environment, 10 rehearsal essentials, score study, music imagery, inner singing, and rehearsal procedures (with an emphasis on an integrated approach to rehearsing) • The technical priorities of intonation and tuning, rhythm patterns, ensemble sonority (tone, balance, blend, color and texture), and articulation • The musical priorities of tempo and ensemble precision, phrasing and the musical line, style and interpretation, dynamics and musical expression • Emphasizing the expectations of 21st-century conductors, the challenges of conducting and rehearsing contemporary music, preparing conductor profiles and self-evaluations, and moving from the rehearsal process to concert performance Conducting and Rehearsing the Instrumental Music Ensemble is a great resource for teachers and students of conducting, as well as current conductors wishing to further hone their skills.



Building An Ensemble Using Ibm Zenterprise Unified Resource Manager


Building An Ensemble Using Ibm Zenterprise Unified Resource Manager
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Author : Bill White
language : en
Publisher: IBM Redbooks
Release Date : 2012-12-12

Building An Ensemble Using Ibm Zenterprise Unified Resource Manager written by Bill White and has been published by IBM Redbooks this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-12 with Computers categories.


For the first time it is possible to deploy an integrated hardware platform that brings mainframe and distributed technologies together: a system that can start to replace individual islands of computing and that can work to reduce complexity, improve security, and bring applications closer to the data that they need. With the zEnterprise System a new concept in IT infrastructures is being introduced: zEnterprise ensembles. A zEnterprise ensemble is a collection of highly virtualized diverse systems that can be managed as a single logical entity where diverse workloads can be deployed. Ensembles, together with the virtualization, flexibility, security, and management capabilities provided by the zEnterprise System are key to solving the problems posed by today's IT infrastructure. The zEnterprise System consists of three components: - IBM® zEnterprise Central Processor Complex (CPC) The zEnterprise CPC can either be a zEnterprise 196 (z196) or a zEnterprise 114 (z114). Both zEnterprise CPCs offer z/OS, z/VSE, and z/TPF operating systems, as well as the ability to run many virtualized Linux servers under the z/VM operating system. - IBM zEnterprise BladeCenter Extension (zBX) The zBX provides the capability to run the wide variety of applications typically found in UNIX and x86 architectures. The zBX supports select POWER7 blades running AIX and System x blades running Linux on System x and Microsoft Windows. - IBM zEnterprise Unified Resource Manager Unified Resource Manager runs in the Hardware Management Console (HMC). It provides integrated management across all elements of the zEnterprise System. This IBM Redbooks® publication discusses how to plan and implement an ensemble, using the zEnterprise Unified Resource Manager. This book assumes a knowledge of IT systems, networks, and storage devices.



Hybrid One Class Classifier Ensemble Based On Fuzzy Integral For Open Lexicon Handwritten Arabic Word Recognition


Hybrid One Class Classifier Ensemble Based On Fuzzy Integral For Open Lexicon Handwritten Arabic Word Recognition
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Author : Bilal Hadjadji
language : en
Publisher: Infinite Study
Release Date :

Hybrid One Class Classifier Ensemble Based On Fuzzy Integral For Open Lexicon Handwritten Arabic Word Recognition written by Bilal Hadjadji and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on with Mathematics categories.


One-class classifier (OCC) is involved for solving different kinds of problems due to its ability to represent a class distribution regardless the remaining classes. Its main advantage for multi-class classification is offering an open system and therefore allows easily extending new classes without retraining OCCs. So far, hidden Markov models, support vector machines and neural networks are the most used classifiers for Arabic word recognition, which provides a system with closed lexicon. In this paper, the OCCs are explored in order to perform an Arabic word recognition system with an open lexicon. Generally, pattern recognition systems designed by a single system suffer from limitations such as the lack of uniqueness and non-universality. Thus, combining multiple systems becomes an attractive research topic for performance and robustness enhancement. Fixed rules are commonly used us combiners for the hybrid OCC ensembles. The present paper aims to propose a combination scheme of OCCs based on the use of fuzzy integral (FI) operators. Furthermore, an alternative framework is proposed to design a parameter-independent and open-lexicon handwritten Arabic word recognition system as well as a new density measure function. Experimental results conducted on Arabic handwritten dataset using different types of OCCs with large number of classes highlight the superiority of FI for hybrid OCC ensembles.



Ensemble Methods


Ensemble Methods
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Author : Zhi-Hua Zhou
language : en
Publisher: CRC Press
Release Date : 2012-06-06

Ensemble Methods written by Zhi-Hua Zhou and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-06-06 with Business & Economics categories.


An up-to-date, self-contained introduction to a state-of-the-art machine learning approach, Ensemble Methods: Foundations and Algorithms shows how these accurate methods are used in real-world tasks. It gives you the necessary groundwork to carry out further research in this evolving field.After presenting background and terminology, the book cover



Percussion Ensemble Collection


Percussion Ensemble Collection
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Author :
language : en
Publisher: Alfred Music Publishing
Release Date : 1993-10

Percussion Ensemble Collection written by and has been published by Alfred Music Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993-10 with Music categories.


Each publication in this graded three-volume collection is written for six percussionists and includes two mallet parts plus a variety of percussion instruments. The leveling and diverse group of styles makes this series excellent training material, as well as enjoyable for young players. Titles are: Spain * Retrograde Waltz * Percussion Sleigh Ride * 6/8 Dance.



Outlier Ensembles


Outlier Ensembles
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Author : Charu C. Aggarwal
language : en
Publisher: Springer
Release Date : 2017-04-06

Outlier Ensembles written by Charu C. Aggarwal and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-04-06 with Computers categories.


This book discusses a variety of methods for outlier ensembles and organizes them by the specific principles with which accuracy improvements are achieved. In addition, it covers the techniques with which such methods can be made more effective. A formal classification of these methods is provided, and the circumstances in which they work well are examined. The authors cover how outlier ensembles relate (both theoretically and practically) to the ensemble techniques used commonly for other data mining problems like classification. The similarities and (subtle) differences in the ensemble techniques for the classification and outlier detection problems are explored. These subtle differences do impact the design of ensemble algorithms for the latter problem. This book can be used for courses in data mining and related curricula. Many illustrative examples and exercises are provided in order to facilitate classroom teaching. A familiarity is assumed to the outlier detection problem and also to generic problem of ensemble analysis in classification. This is because many of the ensemble methods discussed in this book are adaptations from their counterparts in the classification domain. Some techniques explained in this book, such as wagging, randomized feature weighting, and geometric subsampling, provide new insights that are not available elsewhere. Also included is an analysis of the performance of various types of base detectors and their relative effectiveness. The book is valuable for researchers and practitioners for leveraging ensemble methods into optimal algorithmic design.