Idioma: Inglés
Publicado por The MIT Press (edition 1), 2009
ISBN 10: 0262013193 ISBN 13: 9780262013192
Librería: BooksRun, Philadelphia, PA, Estados Unidos de America
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Librería: ReviBlio, Barcelona, B, España
Original o primera edición
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Añadir al carritoCondition: Very good. This book a is a comprehensive, landmark textbook that provides a general framework for constructing and using probabilistic models of complex systems. Its primary focus is on how to represent and reason about uncertainty in complex, real-world domains like computer vision, robotics, and computational biology. The book is structured around the three fundamental cornerstones of the probabilistic graphical model (PGM) framework: Representation: Discusses various models, including Bayesian Networks (directed graphs) and Undirected Markov Networks, as ways to compactly encode joint probability distributions over many variables using conditional independence assumptions. Inference: Details the algorithms and techniques (both exact and approximate, like belief propagation and sampling methods) for answering probabilistic queries, such as finding the probability of an event given some evidence. Learning: Covers methods for automatically constructing the models from data, including estimating model parameters and learning the underlying graph structure. Finally, the book extends the framework to cover advanced topics such as causal reasoning and decision making under uncertainty. It is widely regarded as a definitive reference for students and researchers in artificial intelligence and machine learning.
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Librería: thebookforest.com, San Rafael, CA, Estados Unidos de America
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Añadir al carritoCondición: New. New.
Idioma: Inglés
Publicado por The MIT Press Bookstore, 2009
ISBN 10: 0262013193 ISBN 13: 9780262013192
Librería: Majestic Books, Hounslow, Reino Unido
EUR 115,80
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Añadir al carritoCondición: New. pp. 1280.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
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Idioma: Inglés
Publicado por Mit Press, 2009
Librería: Books in my Basket, New Delhi, India
EUR 122,91
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Añadir al carritoHardcover. Condición: New. ISBN:9780262013192.
Librería: BennettBooksLtd, San Diego, NV, Estados Unidos de America
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Añadir al carritoHardcover. Condición: New. In shrink wrap. Looks like an interesting title!
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Añadir al carritoCondición: Very Good. Condition: Very Good, Pages: 1270, Size: 23.6x20.9x5.
Idioma: Inglés
Publicado por The MIT Press Bookstore, 2009
ISBN 10: 0262013193 ISBN 13: 9780262013192
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 141,52
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Añadir al carritoCondición: New. pp. 1280.
EUR 127,03
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Añadir al carritoCondición: New. Daphne Koller is Professor in the Department of Computer Science at Stanford University.Nir Friedman is Professor in the Department of Computer Science and Engineering at Hebrew University.A general framework for constructing and using probab.
Librería: UK BOOKS STORE, London, LONDO, Reino Unido
EUR 194,42
Cantidad disponible: 4 disponibles
Añadir al carritoHardcover. Condición: New. Brand New ! Fast Delivery "International Edition " and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 4-6 Working days .and we do have flat rate for up to 2LB. Extra shipping charges will be requested This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.