Luong khanh (7 Ergebnisse)

Zustand: New. In English.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book offers a detailed and comprehensive analysis of multi-aspect data learning, focusing especially on representation learning approaches for unsupervised machine learning. It covers state-of-the-art representation learning techniques for clustering and their applications in various domains. This is the first book to systematically review multi-aspect data learning, incorporating a range of concepts and applications. Additionally, it is the first to comprehensively investigate manifold learning for dimensionality reduction in multi-view data learning. The book presents the latest advances in matrix factorization, subspace clustering, spectral clustering and deep learning methods, with a particular emphasis on the challenges and characteristics of multi-aspect data. Each chapter includes a thorough discussion of state-of-the-art of multi-aspect data learning methods and important research gaps. The book provides readers with the necessary foundational knowledge to apply these methods to new domains and applications, as well as inspire new research in this emerging field.…

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book offers a detailed and comprehensive analysis of multi-aspect data learning, focusing especially on representation learning approaches for unsupervised machine learning. It covers state-of-the-art representation learning techniques for clustering and their applications in various domains. This is the first book to systematically review multi-aspect data learning, incorporating a range of concepts and applications. Additionally, it is the first to comprehensively investigate manifold learning for dimensionality reduction in multi-view data learning. The book presents the latest advances in matrix factorization, subspace clustering, spectral clustering and deep learning methods, with a particular emphasis on the challenges and characteristics of multi-aspect data. Each chapter includes a thorough discussion of state-of-the-art of multi-aspect data learning methods and important research gaps. The book provides readers with the necessary foundational knowledge to apply these methods to new domains and applications, as well as inspire new research in this emerging field.…

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This bookaddresses the growing intersection of the aviation and tourism industries, providing a comprehensive guide on how these two sectors can collaborate to create more efficient, sustainable, and profitable travel experiences. The book focuses on key topics such as sustainable aviation fuels (SAF), digital transformation, airline logistics, tourism demand forecasting, and post-pandemic recovery strategies.Readers will benefit from the book's practical, data-driven insights, which are supported by real-world case studies from leading airlines and tourism operators. These case studies demonstrate how airlines and tourism organizations can align their operations, optimize flight schedules with tourism demand, and adopt innovative sustainability practices. The book also emphasizes the use of emerging technologies like AI, machine learning, and blockchain to streamline operations and enhance customer experience.…

Hardcover. Zustand: Brand New. 192 pages. 9.25x6.10x0.51 inches. In Stock.

Zustand: New.

Taschenbuch. Zustand: Neu. La notion d'intégrale dans l'enseignement des mathématiques au lycée | Une étude comparative entre la France et le Vietnam | Cong Khanh Tran Luong | Taschenbuch | 364 S. | Französisch | 2010 | Éditions universitaires européennes | EAN 9786131502736 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.…