Ensembles in Machine Learning Applications, Oleg Okun; Giorgio Valentini; Matteo Re

Автор: Christopher M. Bishop
Название: Pattern Recognition and Machine Learning
ISBN: 0387310738 ISBN-13(EAN): 9780387310732
Издательство: Springer
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Цена: 79190.00 T
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Описание: Familiarity with multivariate calculus and basic linear algebra is required, and some experience in the use of probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.

Автор: Cha Zhang; Yunqian Ma
Название: Ensemble Machine Learning
ISBN: 1489988173 ISBN-13(EAN): 9781489988171
Издательство: Springer
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Цена: 139310.00 T
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Описание: The primary goal of this book is to give readers a complete treatment of the state-of-the-art ensemble learning methods. It also provides a set of applications that demonstrate the various usages of ensemble learning methods in the real-world.

Автор: Oleg Okun
Название: Supervised and Unsupervised Ensemble Methods and their Applications
ISBN: 3642097766 ISBN-13(EAN): 9783642097768
Издательство: Springer
Цена: 139750.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Ensembles of Clustering Methods and Their Applications.- Cluster Ensemble Methods: from Single Clusterings to Combined Solutions.- Random Subspace Ensembles for Clustering Categorical Data.- Ensemble Clustering with a Fuzzy Approach.- Collaborative Multi-Strategical Clustering for Object-Oriented Image Analysis.- Ensembles of Classification Methods and Their Applications.- Intrusion Detection in Computer Systems Using Multiple Classifier Systems.- Ensembles of Nearest Neighbors for Gene Expression Based Cancer Classification.- Multivariate Time Series Classification via Stacking of Univariate Classifiers.- Gradient Boosting GARCH and Neural Networks for Time Series Prediction.- Cascading with VDM and Binary Decision Trees for Nominal Data.- Erratum.

Автор: Oleg Okun
Название: Supervised and Unsupervised Ensemble Methods and their Applications
ISBN: 3540789804 ISBN-13(EAN): 9783540789802
Издательство: Springer
Рейтинг:
Цена: 139750.00 T
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Описание: Ensembles of Clustering Methods and Their Applications.- Cluster Ensemble Methods: from Single Clusterings to Combined Solutions.- Random Subspace Ensembles for Clustering Categorical Data.- Ensemble Clustering with a Fuzzy Approach.- Collaborative Multi-Strategical Clustering for Object-Oriented Image Analysis.- Ensembles of Classification Methods and Their Applications.- Intrusion Detection in Computer Systems Using Multiple Classifier Systems.- Ensembles of Nearest Neighbors for Gene Expression Based Cancer Classification.- Multivariate Time Series Classification via Stacking of Univariate Classifiers.- Gradient Boosting GARCH and Neural Networks for Time Series Prediction.- Cascading with VDM and Binary Decision Trees for Nominal Data.- Erratum.

Автор: Oleg Okun
Название: Applications of Supervised and Unsupervised Ensemble Methods
ISBN: 3642039987 ISBN-13(EAN): 9783642039980
Издательство: Springer
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Цена: 139750.00 T
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Описание: Expanding upon presentations at last year`s SUEMA (Supervised and Unsupervised Ensemble Methods and Applications) meeting, this volume explores recent developments in the field. Useful examples act as a guide for practitioners in computational intelligence.

Автор: Jhon Rutter
Название: Magnificat for Soprano or Mezzo-Soprano Solo, Mixed Choir, and Orchestra (or Chamber Ensemble)
ISBN: 0193380374 ISBN-13(EAN): 9780193380370
Издательство: Oxford Academ
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Цена: 15050.00 T
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Описание: for soprano or mezzo-soprano solo, SATB chorus and either full orchestra or chamber orchestraMinimum recommended string forces for the chamber ensemble are 2.2.2.1.1. Full scores, vocal scores, and instrumental parts are available on hire.

Автор: Bruno Baruque
Название: Fusion Methods for Unsupervised Learning Ensembles
ISBN: 3642423280 ISBN-13(EAN): 9783642423284
Издательство: Springer
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Цена: 121110.00 T
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Описание: This book examines the potential of the ensemble meta-algorithm by describing and testing a technique based on the combination of ensembles and statistical PCA that is able to determine the presence of outliers in high-dimensional data sets.

Автор: Charu C. Aggarwal; Saket Sathe
Название: Outlier Ensembles
ISBN: 331954764X ISBN-13(EAN): 9783319547640
Издательство: Springer
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Цена: 69870.00 T
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Описание: This book discusses a variety of methods for outlier ensembles and organizes them by the specific principles with which accuracy improvements are achieved. The authors cover how outlier ensembles relate (both theoretically and practically) to the ensemble techniques used commonly for other data mining problems like classification.

Автор: V.K.B. Kota
Название: Embedded Random Matrix Ensembles in Quantum Physics
ISBN: 3319045660 ISBN-13(EAN): 9783319045665
Издательство: Springer
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Цена: 65210.00 T
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Описание: This book offers an exhaustive introduction to and survey of the use of embedded random matrix ensembles in quantum physics, developing the necessary concepts from the beginning, and guiding the reader to the frontiers of present-day research.

Автор: Stefan Putz
Название: Circuit Cavity QED with Macroscopic Solid-State Spin Ensembles
ISBN: 3319664468 ISBN-13(EAN): 9783319664460
Издательство: Springer
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Цена: 102480.00 T
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Описание: This thesis combines quantum electrical engineering with electron spin resonance, with an emphasis on unraveling emerging collective spin phenomena.

Автор: Hall
Название: Ensembles on Configuration Space
ISBN: 3319341642 ISBN-13(EAN): 9783319341644
Издательство: Springer
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Цена: 90370.00 T
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Описание: This book describes a promising approach to problems in the foundations of quantum mechanics, including the measurement problem. The dynamics of ensembles on configuration space is shown here to be a valuable tool for unifying the formalisms of classical and quantum mechanics, for deriving and extending the latter in various ways, and for addressing the quantum measurement problem. A description of physical systems by means of ensembles on configuration space can be introduced at a very fundamental level: the basic building blocks are a configuration space, probabilities, and Hamiltonian equations of motion for the probabilities. The formalism can describe both classical and quantum systems, and their thermodynamics, with the main difference being the choice of ensemble Hamiltonian. Furthermore, there is a natural way of introducing ensemble Hamiltonians that describe the evolution of hybrid systems; i.e., interacting systems that have distinct classical and quantum sectors, allowing for consistent descriptions of quantum systems interacting with classical measurement devices and quantum matter fields interacting gravitationally with a classical spacetime.

Автор: Akihito Hora
Название: The Limit Shape Problem for Ensembles of Young Diagrams
ISBN: 4431564853 ISBN-13(EAN): 9784431564850
Издательство: Springer
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Цена: 46570.00 T
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Описание: This book treats ensembles of Young diagrams originating from group-theoretical contexts and investigates what statistical properties are observed there in a large-scale limit. The focus is mainly on analyzing the interesting phenomenon that specific curves appear in the appropriate scaling limit for the profiles of Young diagrams. This problem is regarded as an important origin of recent vital studies on harmonic analysis of huge symmetry structures. As mathematics, an asymptotic theory of representations is developed of the symmetric groups of degree n as n goes to infinity. The framework of rigorous limit theorems (especially the law of large numbers) in probability theory is employed as well as combinatorial analysis of group characters of symmetric groups and applications of Voiculescu's free probability. The central destination here is a clear description of the asymptotic behavior of rescaled profiles of Young diagrams in the Plancherel ensemble from both static and dynamic points of view.