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The Ensemble

The Ensemble
Author: Aja Gabel
Publisher: Penguin
Total Pages: 354
Release: 2019-06-25
Genre: Fiction
ISBN: 0735214778

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"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

Ensemble
Author: Mark Larson
Publisher: Agate Publishing
Total Pages: 624
Release: 2019-08-13
Genre: Performing Arts
ISBN: 1572848057

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This definitive history brings Chicago’s celebrated theater and comedy scenes to life with stories from some of its biggest stars spanning sixty-five years. Chicago is a bona fide theater town, bursting with vitality that thrills local fans and produces generation after generation of world-renowned actors, directors, playwrights, and designers. Now Mark Larson shares the rich theatrical history of Chicago through first-person accounts from the people who made it. Drawing from more than three hundred interviews, Larson weaves a narrative that expresses the spirit of Chicago’s ensemble ethos: the voices of celebrities such as Julia Louis-Dreyfus, Ed Asner, George Wendt, Michael Shannon, and Tracy Letts comingle with stories from designers, composers, and others who have played a crucial role in making Chicago theater so powerful, influential, and unique. Among many other topics, this book explores the early days of the fabled Compass Players and the legendary Second City in the ‘50s and ‘60s; the rise of acclaimed ensembles like Steppenwolf in the ‘70s; the explosion of storefront and neighborhood companies in the ‘80s; and the enduring global influence of the city as the center of improv training and performance.


The Ensemble Practice

The Ensemble Practice
Author: P. Palaveev
Publisher: John Wiley & Sons
Total Pages: 247
Release: 2012-10-02
Genre: Business & Economics
ISBN: 1118209540

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A detailed road map for wealth managers who want to build an ensemble firm or team and achieve sustained growth, profitability and high valuations Why do ten percent of wealth management firms grow faster than the rest of the industry, often despite the turbulence of the markets? The answer, according to industry consultant and researcher, P. Palaveev, is that the most successful firms are those which, create and promote a team-based service model that serves as the foundation of their enterprise. Find out how and why a team-based service model can play a decisive role in the future growth and sustained success of your wealth management firm Discover the key factors for building a successful ensemble firm and profit from the best practices top team-based firms employ Profit from the author's years of experience working with the world's top wealth management firms and the data he has compiled as a pre-eminent industry researcher Learn about the various organizational structures, partnership models and career path options and how to put them to work building an ensemble practice Get the lowdown on how the savviest traditional broker-dealer firms have formed dynamic ensemble teams within their organizations and learn of the results they've achieved


Accent on Ensembles, Book 1

Accent on Ensembles, Book 1
Author: John O'Reilly
Publisher: Alfred Music
Total Pages: 28
Release: 2005-05-03
Genre: Music
ISBN: 9781457415593

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Accent on Ensembles is an exciting book of duets, trios and quartets for flexible instrumentation that correlates with Accent on Achievement, Book 1. Use these ensembles to develop confidence in young players and as a valuable resource for music during contest season. Since the instrumentation is flexible, any combination of instruments can play together. Accent on Ensembles, Book 2 is an exciting book of duets, trios and quartets for flexible instrumentation that correlates with Accent on Achievement, Book 2.


Ensemble Methods

Ensemble Methods
Author: Zhi-Hua Zhou
Publisher: CRC Press
Total Pages: 234
Release: 2012-06-06
Genre: Business & Economics
ISBN: 1439830053

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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


Ensemble Learning Algorithms With Python

Ensemble Learning Algorithms With Python
Author: Jason Brownlee
Publisher: Machine Learning Mastery
Total Pages: 450
Release: 2021-04-26
Genre: Computers
ISBN:

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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.


Yamaha Band Ensembles

Yamaha Band Ensembles
Author: John O'Reilly
Publisher: Alfred Music Publishing
Total Pages: 28
Release: 1990
Genre:
ISBN:

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Ensemble Learning: Pattern Classification Using Ensemble Methods (Second Edition)

Ensemble Learning: Pattern Classification Using Ensemble Methods (Second Edition)
Author: Lior Rokach
Publisher: World Scientific
Total Pages: 301
Release: 2019-02-27
Genre: Computers
ISBN: 9811201978

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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
Author: André Gensler
Publisher: kassel university press GmbH
Total Pages: 216
Release: 2019-01-16
Genre: Weights and measures
ISBN: 3737606366

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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.