Predicting Storm Surges: Chaos, Computational Intelligence, Data Assimilation and Ensembles, Siek, Michael
Автор: Park Название: Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. IV) ISBN: 3030777243 ISBN-13(EAN): 9783030777241 Издательство: Springer Рейтинг: Цена: 158380.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book contains the most recent progress in data assimilation in meteorology, oceanography and hydrology including land surface. It spans both theoretical and applicative aspects with various methodologies such as variational, Kalman filter, ensemble, Monte Carlo and artificial intelligence methods. Besides data assimilation, other important topics are also covered including adaptive observations, sensitivity analysis, parameter estimation and AI applications. The book is useful to individual researchers as well as graduate students for a reference in the field of data assimilation.
Автор: Robert M. Losee Название: Predicting Information Retrieval Performance ISBN: 1681734745 ISBN-13(EAN): 9781681734743 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 61910.00 T Наличие на складе: Невозможна поставка. Описание: Within the constraints of alien control or influence, it is argued, cultural and organisational barriers have consistently allowed a wide range of initiative to African leaders and communities in a creative and flexible adjustment to new and unfamiliar demands. Exploration of this African initiative in various contexts suggests a complex, fascinating pattern of cultural and structural interaction.
Автор: Alik Ismail-Zadeh, Dylan Jones, Fabio Castelli, Sabrina Sanchez Название: Applications of Data Assimilation and Inverse Problems in the Earth Sciences ISBN: 1009180401 ISBN-13(EAN): 9781009180405 Издательство: Cambridge Academ Рейтинг: Цена: 116160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Many contemporary problems within the Earth sciences are complex, and require an interdisciplinary approach. This book provides a comprehensive reference on data assimilation and inverse problems, as well as their applications across a broad range of geophysical disciplines. With contributions from world leading researchers, it covers basic knowledge about geophysical inversions and data assimilation and discusses a range of important research issues and applications in atmospheric and cryospheric sciences, hydrology, geochronology, geodesy, geodynamics, geomagnetism, gravity, near-Earth electron radiation, seismology, and volcanology. Highlighting the importance of research in data assimilation for understanding dynamical processes of the Earth and its space environment and for predictability, it summarizes relevant new advances in data assimilation and inverse problems related to different geophysical fields. Covering both theory and practical applications, it is an ideal reference for researchers and graduate students within the geosciences who are interested in inverse problems, data assimilation, predictability, and numerical methods.
Автор: Bol?n-Canedo Название: Recent Advances in Ensembles for Feature Selection ISBN: 331990079X ISBN-13(EAN): 9783319900797 Издательство: Springer Рейтинг: Цена: 93160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book offers a comprehensive overview of ensemble learning in the field of feature selection (FS), which consists of combining the output of multiple methods to obtain better results than any single method.
Автор: Bruno Baruque Название: Fusion Methods for Unsupervised Learning Ensembles ISBN: 3642423280 ISBN-13(EAN): 9783642423284 Издательство: Springer Рейтинг: Цена: 121110.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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: Ariel Rosenfeld, Sarit Kraus Название: Predicting Human Decision-Making: From Prediction to Action ISBN: 1681732742 ISBN-13(EAN): 9781681732749 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 66530.00 T Наличие на складе: Невозможна поставка. Описание: Human decision-making often transcends our formal models of ""rationality."" Designing intelligent agents that interact proficiently with people necessitates the modeling of human behavior and the prediction of their decisions. In this book, we explore the task of automatically predicting human decision-making and its use in designing intelligent human-aware automated computer systems of varying natures—from purely conflicting interaction settings (e.g., security and games) to fully cooperative interaction settings (e.g., autonomous driving and personal robotic assistants). We explore the techniques, algorithms, and empirical methodologies for meeting the challenges that arise from the above tasks and illustrate major benefits from the use of these computational solutions in real-world application domains such as security, negotiations, argumentative interactions, voting systems, autonomous driving, and games. The book presents both the traditional and classical methods as well as the most recent and cutting edge advances, providing the reader with a panorama of the challenges and solutions in predicting human decision-making.
Автор: Oleg Okun; Giorgio Valentini; Matteo Re Название: Ensembles in Machine Learning Applications ISBN: 3662507064 ISBN-13(EAN): 9783662507063 Издательство: Springer Рейтинг: Цена: 113180.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book collects papers from the 3rd Workshop on Supervised and Unsupervised Ensemble Methods and their Applications (SUEMA), held as part of the 2010 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases.
Автор: William Lahoz; Boris Khattatov; Richard Menard Название: Data Assimilation ISBN: 364242273X ISBN-13(EAN): 9783642422737 Издательство: Springer Рейтинг: Цена: 156720.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: In recent years data assimilation methods have been applied to an increasing range of earth science disciplines. This book sets out the theoretical basis of data assimilation with contributions by top international experts in the field.
Автор: Park Seon Ki, Xu Liang Название: Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. IV) ISBN: 3030777219 ISBN-13(EAN): 9783030777210 Издательство: Springer Рейтинг: Цена: 158380.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book contains the most recent progress in data assimilation in meteorology, oceanography and hydrology including land surface. Besides data assimilation, other important topics are also covered including adaptive observations, sensitivity analysis, parameter estimation and AI applications.
Автор: Ariel Rosenfeld, Sarit Kraus Название: Predicting Human Decision-Making: From Prediction to Action ISBN: 1681732769 ISBN-13(EAN): 9781681732763 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 87780.00 T Наличие на складе: Невозможна поставка. Описание: Human decision-making often transcends our formal models of ""rationality."" Designing intelligent agents that interact proficiently with people necessitates the modeling of human behavior and the prediction of their decisions. In this book, we explore the task of automatically predicting human decision-making and its use in designing intelligent human-aware automated computer systems of varying natures—from purely conflicting interaction settings (e.g., security and games) to fully cooperative interaction settings (e.g., autonomous driving and personal robotic assistants). We explore the techniques, algorithms, and empirical methodologies for meeting the challenges that arise from the above tasks and illustrate major benefits from the use of these computational solutions in real-world application domains such as security, negotiations, argumentative interactions, voting systems, autonomous driving, and games. The book presents both the traditional and classical methods as well as the most recent and cutting edge advances, providing the reader with a panorama of the challenges and solutions in predicting human decision-making.
Автор: L. Bengtsson; M. Ghil; E. K?llen Название: Dynamic Meteorology: Data Assimilation Methods ISBN: 0387906320 ISBN-13(EAN): 9780387906324 Издательство: Springer Рейтинг: Цена: 104480.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Казахстан, 010000 г. Астана, проспект Туран 43/5, НП2 (офис 2) ТОО "Логобук" Тел:+7 707 857-29-98 ,+7(7172) 65-23-70 www.logobook.kz
