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The Ensemble


The Ensemble
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The Ensemble


The Ensemble
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Author : Aja Gabel
language : en
Publisher: National Geographic Books
Release Date : 2019-06-25

The Ensemble written by Aja Gabel and has been published by National Geographic Books this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-25 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.



The Ensemble Practice


The Ensemble Practice
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Author : P. Palaveev
language : en
Publisher: John Wiley & Sons
Release Date : 2012-10-02

The Ensemble Practice written by P. Palaveev and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-10-02 with Business & Economics categories.


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



Data Assimilation


Data Assimilation
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Author : Geir Evensen
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-12-22

Data Assimilation written by Geir Evensen and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-12-22 with Science categories.


This book reviews popular data-assimilation methods, such as weak and strong constraint variational methods, ensemble filters and smoothers. The author shows how different methods can be derived from a common theoretical basis, as well as how they differ or are related to each other, and which properties characterize them, using several examples. Readers will appreciate the included introductory material and detailed derivations in the text, and a supplemental web site.



Ensemble Theatre Making


Ensemble Theatre Making
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Author : Rose Burnett Bonczek
language : en
Publisher: Routledge
Release Date : 2013

Ensemble Theatre Making written by Rose Burnett Bonczek and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with Medical categories.


Ensemble Theatre Making: A Practical Guide is the first comprehensive diagnostic handbook for building, caring for and maintaining ensemble. Successful ensembles don't happen by chance: they can be created, nurtured and maintained through specific actions taken by ensemble leaders and members. Ensemble Theatre Making provides a thorough step-by-step process to consistently achieve the collaborative dynamic that leads to the group trust, commitment and sacrifice necessary for the success of a common goal.



Ensemble Machine Learning


Ensemble Machine Learning
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Author : Cha Zhang
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-02-17

Ensemble Machine Learning written by Cha Zhang and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-02-17 with Computers categories.


It is common wisdom that gathering a variety of views and inputs improves the process of decision making, and, indeed, underpins a democratic society. Dubbed “ensemble learning” by researchers in computational intelligence and machine learning, it is known to improve a decision system’s robustness and accuracy. Now, fresh developments are allowing researchers to unleash the power of ensemble learning in an increasing range of real-world applications. Ensemble learning algorithms such as “boosting” and “random forest” facilitate solutions to key computational issues such as face recognition and are now being applied in areas as diverse as object tracking and bioinformatics. Responding to a shortage of literature dedicated to the topic, this volume offers comprehensive coverage of state-of-the-art ensemble learning techniques, including the random forest skeleton tracking algorithm in the Xbox Kinect sensor, which bypasses the need for game controllers. At once a solid theoretical study and a practical guide, the volume is a windfall for researchers and practitioners alike.



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 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.



A Practical Guide To Ensemble Devising


A Practical Guide To Ensemble Devising
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Author : Davis Robinson
language : en
Publisher: Bloomsbury Publishing
Release Date : 2017-09-16

A Practical Guide To Ensemble Devising written by Davis Robinson and has been published by Bloomsbury Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-16 with Performing Arts categories.


Ensemble devising can be a daunting prospect for many actors: it requires a level of imagination, commitment and risk-taking not always seen in conventional theatre. In this handy volume, Davis Robinson uses his wealth of knowledge and expertise, garnered over thirty years of devising, to teach you the ins and outs of ensemble theatre making. A Practical Guide to Ensemble Devising leads you through the process of collaborative theatre, from warm-ups and generating ideas to editing and polishing a performance. It features a comprehensive series of exercises throughout, which will allow you to build the foundational skills required for a range of productive ensemble work. By discussing the work of a number of internationally acclaimed practitioners, Robinson encourages you to develop your own unique style of performance. Lively and accessible, this book is invaluable for anyone interested in developing their devising skills.



Artificial Neural Networks In Medicine And Biology


Artificial Neural Networks In Medicine And Biology
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Author : H. Malmgren
language : en
Publisher: Springer Science & Business Media
Release Date : 2000-04-12

Artificial Neural Networks In Medicine And Biology written by H. Malmgren and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-04-12 with Computers categories.


This volume comprises a selection of papers presented at ANNIMAB-1, the first conference to focus specifically on the topics of ANNs in medicine and biology. It covers three main areas: The medical applications of ANNs, such as in diagnosis and outcome prediction, medical image analysis, and medical signal processing; The uses of ANNs in biology outside clinical medicine, such as in data analysis, in molecular biology, and in simulations of biological systems; The theoretical aspects of ANNs, examining recent developments in learning algorithms and the possible role of ANNs in the medical decision process. Summarising the state-of-the-art and analysing the relationship between ANN techniques and other available methods, it also points to possible future biological and medical uses of ANNs. Essential reading for all neural network theorists, it will also be of interest to biologists and physicians with an interest in modelling and advanced statistical techniques.



Ibm Z13s Technical Guide


Ibm Z13s Technical Guide
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Author : Octavian Lascu
language : en
Publisher: IBM Redbooks
Release Date : 2016-11-10

Ibm Z13s Technical Guide written by Octavian Lascu and has been published by IBM Redbooks this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-10 with Computers categories.


Digital business has been driving the transformation of underlying information technology (IT) infrastructure to be more efficient, secure, adaptive, and integrated. IT must be able to handle the explosive growth of mobile clients and employees. It also must be able to process enormous amounts of data to provide deep and real-time insights to help achieve the greatest business impact. This IBM® Redbooks® publication addresses the new IBM z SystemsTM single frame, the IBM z13s server. IBM z Systems servers are the trusted enterprise platform for integrating data, transactions, and insight. A data-centric infrastructure must always be available with a 99.999% or better availability, have flawless data integrity, and be secured from misuse. It needs to be an integrated infrastructure that can support new applications. It also needs to have integrated capabilities that can provide new mobile capabilities with real-time analytics delivered by a secure cloud infrastructure. IBM z13s servers are designed with improved scalability, performance, security, resiliency, availability, and virtualization. The superscalar design allows z13s servers to deliver a record level of capacity over the prior single frame z Systems server. In its maximum configuration, the z13s server is powered by up to 20 client characterizable microprocessors (cores) running at 4.3 GHz. This configuration can run more than 18,000 millions of instructions per second (MIPS) and up to 4 TB of client memory. The IBM z13s Model N20 is estimated to provide up to 100% more total system capacity than the IBM zEnterprise® BC12 Model H13. This book provides information about the IBM z13s server and its functions, features, and associated software support. Greater detail is offered in areas relevant to technical planning. It is intended for systems engineers, consultants, planners, and anyone who wants to understand the IBM z SystemsTM functions and plan for their usage. It is not intended as an introduction to mainframes. Readers are expected to be generally familiar with existing IBM z Systems technology and terminology.



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.