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The Wind Ensemble and Its Repertoire

The Wind Ensemble and Its Repertoire PDF Author: Frank J. Cipolla
Publisher: Alfred Music
ISBN: 9781457449949
Category : Music
Languages : en
Pages : 320

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Book Description
As part of the mission of The Donald Hunsberger Wind Library, the 1994 hardcover edition (University of Rochester Press) of The Wind Ensemble and Its Repertoire has now been published in a paperback edition. This compendium of research includes "must have" information on the history and execution of the wind ensemble repertoire.

The Wind Ensemble and Its Repertoire

The Wind Ensemble and Its Repertoire PDF Author: Frank J. Cipolla
Publisher: Alfred Music
ISBN: 9781457449949
Category : Music
Languages : en
Pages : 320

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Book Description
As part of the mission of The Donald Hunsberger Wind Library, the 1994 hardcover edition (University of Rochester Press) of The Wind Ensemble and Its Repertoire has now been published in a paperback edition. This compendium of research includes "must have" information on the history and execution of the wind ensemble repertoire.

Ensemble Methods

Ensemble Methods PDF Author: Zhi-Hua Zhou
Publisher: CRC Press
ISBN: 1439830053
Category : Business & Economics
Languages : en
Pages : 236

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Book Description
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 covers the main algorithms and theories, including Boosting, Bagging, Random Forest, averaging and voting schemes, the Stacking method, mixture of experts, and diversity measures. It also discusses multiclass extension, noise tolerance, error-ambiguity and bias-variance decompositions, and recent progress in information theoretic diversity. Moving on to more advanced topics, the author explains how to achieve better performance through ensemble pruning and how to generate better clustering results by combining multiple clusterings. In addition, he describes developments of ensemble methods in semi-supervised learning, active learning, cost-sensitive learning, class-imbalance learning, and comprehensibility enhancement.

Ensemble Learning Algorithms With Python

Ensemble Learning Algorithms With Python PDF Author: Jason Brownlee
Publisher: Machine Learning Mastery
ISBN:
Category : Computers
Languages : en
Pages : 450

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Book Description
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) PDF Author: Lior Rokach
Publisher: World Scientific
ISBN: 9811201978
Category : Computers
Languages : en
Pages : 300

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Book Description
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.

Pattern Classification Using Ensemble Methods

Pattern Classification Using Ensemble Methods PDF Author:
Publisher:
ISBN: 9814468312
Category :
Languages : en
Pages :

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Wind Power Ensemble Forecasting

Wind Power Ensemble Forecasting PDF Author: André Gensler
Publisher: kassel university press GmbH
ISBN: 3737606366
Category :
Languages : en
Pages : 214

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Book Description
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 PDF Author: John F. Colson
Publisher: Scarecrow Press
ISBN: 0810882612
Category : Music
Languages : en
Pages : 520

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Book Description
Conducting and Rehearsing the Instrumental Music Ensemble is the most comprehensive guide on the rehearsal process 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.

The Ensemble Practice

The Ensemble Practice PDF Author: P. Palaveev
Publisher: John Wiley & Sons
ISBN: 1118231384
Category : Business & Economics
Languages : en
Pages : 240

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Book Description
A detailed road map for wealth managers who want to build anensemble firm or team and achieve sustained growth, profitabilityand high valuations Why do ten percent of wealth management firms grow faster thanthe rest of the industry, often despite the turbulence of themarkets? The answer, according to industry consultant andresearcher, P. Palaveev, is that the most successful firms arethose which, create and promote a team-based service model thatserves as the foundation of their enterprise. Find out how and why a team-based service model can play adecisive role in the future growth and sustained success of yourwealth management firm Discover the key factors for building a successful ensemblefirm and profit from the best practices top team-based firmsemploy Profit from the author's years of experience working with theworld's top wealth management firms and the data he has compiled asa pre-eminent industry researcher Learn about the various organizational structures, partnershipmodels and career path options and how to put them to work buildingan ensemble practice Get the lowdown on how the savviest traditional broker-dealerfirms have formed dynamic ensemble teams within their organizationsand learn of the results they've achieved

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 PDF Author: Bilal Hadjadji
Publisher: Infinite Study
ISBN:
Category : Mathematics
Languages : en
Pages : 15

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Book Description
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.

Canadiana

Canadiana PDF Author:
Publisher:
ISBN:
Category : Canada
Languages : en
Pages :

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Book Description