Fractal Approaches for Modeling Financial Assets and Predicting Crises, Inna Nekrasova, Oxana Karnaukhova, Bryan Christiansen
Название: Predicting structured data ISBN: 0262528045 ISBN-13(EAN): 9780262528047 Издательство: MIT Press Рейтинг: Цена: 8554.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
State-of-the-art algorithms and theory in a novel domain of machine learning, prediction when the output has structure.
Machine learning develops intelligent computer systems that are able to generalize from previously seen examples. A new domain of machine learning, in which the prediction must satisfy the additional constraints found in structured data, poses one of machine learning's greatest challenges: learning functional dependencies between arbitrary input and output domains. This volume presents and analyzes the state of the art in machine learning algorithms and theory in this novel field. The contributors discuss applications as diverse as machine translation, document markup, computational biology, and information extraction, among others, providing a timely overview of an exciting field.
Contributors Yasemin Altun, Gokhan Bakir, Olivier Bousquet, Sumit Chopra, Corinna Cortes, Hal Daume III, Ofer Dekel, Zoubin Ghahramani, Raia Hadsell, Thomas Hofmann, Fu Jie Huang, Yann LeCun, Tobias Mann, Daniel Marcu, David McAllester, Mehryar Mohri, William Stafford Noble, Fernando Perez-Cruz, Massimiliano Pontil, Marc'Aurelio Ranzato, Juho Rousu, Craig Saunders, Bernhard Scholkopf, Matthias W. Seeger, Shai Shalev-Shwartz, John Shawe-Taylor, Yoram Singer, Alexander J. Smola, Sandor Szedmak, Ben Taskar, Ioannis Tsochantaridis, S.V.N Vishwanathan, Jason Weston
Описание: This key volume provides the best syntheses on the current status of research in kinematic simulation and other synthetic turbulence models applied to environmental flows. KS itself is widely used in various domains including Lagrangian dispersion.
Автор: Wang Название: Evolution, Monitoring and Predicting Models of Rockburst ISBN: 9811075476 ISBN-13(EAN): 9789811075476 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Introduction.- Experimental Materials and Equipment.- The Mechanism and Predicting Theory-Based Rockburst Evolution.- Three-dimensional Reconstruction Model and Numerical Simulation of Rock Fissures.- The Patterns of Dynamic Evolution of Cracks in Rock Failure.- Experiment Investigation of AE Precursor Information for Rockburst.- Experimental Investigations on Multi-means and Synergistic Prediction for Rockburst.- Predicting Model of Rockburst Based on Nondeterministic Theory.- Field Case.
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