Barber, DavidBiblio.com
Bayesian Reasoning and Machine Learning
0521518148New. Brand new and still unused unknown
Jubilee Books · États-Unis133,89 $US≈ 113,28 €
7 802 résultats
2012099508Banbridge: FE McWilliam Gallery and Studio. Qto. 80 pages colour illustrated. As new a Fine copy. . Fine. Hardcover. 1st Edition. 2012. FE McWilliam Gallery and Studio hardcover
0521518148New. Brand new and still unused unknown
2012DEC1-521518148-390Cambridge University Press 2012-03-12. Hardcover. Good. US Edition Textbook May Have Highlights Notes and/or Underlining BOOK ONLY-NO ACCESS CODE NO CD Ships with Emailed Tracking from USA Cambridge University Press hardcover
9780521518147<p>ISBN: 9780521518147</p><p>CAMBRIDGE UNIVERSITY PRESS 15 February 2019</p><p>Hardback 735 pages </p><p>Machine learning methods extract value from vast data sets quickly and with modest resources. They are established tools in a wide range of industrial applications including search engines DNA sequencing stock market analysis and robot locomotion and their use is spreading rapidly. People who know the methods have their choice of rewarding jobs. This hands-on text opens these opportunities to computer science students with modest mathematical backgrounds. It is designed for final-year undergraduates and master's students with limited background in linear algebra and calculus. Comprehensive and coherent it develops everything from basic reasoning to advanced techniques within the framework of graphical models. Students learn more than a menu of techniques they develop analytical and problem-solving skills that equip them for the real world. Numerous examples and exercises both computer based and theoretical are included in every chapter. Resources for students and instructors including a MATLAB toolbox are available online.</p> hardcover
0521518148.Ghardcover. Good. Access codes and supplements are not guaranteed with used items. May be an ex-library book. hardcover
2012DADAX0521518148Cambridge University Press 2012-03-12. 1. hardcover. New. 7.75x1.50x10.00. Buy with confidence. Excellent Customer Service & Return policy. Cambridge University Press hardcover
ria9780521518147_inpHardcover. New. New Book; Fast Shipping from UK; Not signed; Not First Edition; This practical introduction for final-year undergraduate and graduate students is ideally suited to computer scientists without a background in calculus and linear algebra. Numerous examples and exercises are provided. Additional resour hardcover
Ad 9781107439955USA Edition . New. Brand New! Fast Delivery This is an 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 7-12 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India United states & United Kingdom. Depending on your location and availability. unknown
11970769-nnew. unknown
11970769like new. unknown
2014Adhya-9781107439955CAMBRIDGE INDIA 2014. Paperback. New. CAMBRIDGE INDIA paperback
2012x-0521518148Cambridge University Press 2012. Hardcover. New. 650 pages. 9.76x7.48x1.50 inches. Cambridge University Press hardcover
2014Adhya-9781107439955CAMBRIDGE INDIA 2014. Paperback. New. CAMBRIDGE INDIA paperback
63931225Cambridge University Press CUP pp. 720 Index. Hardback. New. Cambridge University Press CUP hardcover
12106573-nnew. unknown
12106573like new. unknown
2011SONG0521196760Cambridge University Press 2011-09-30. New. hardcover. Used: Good. 7.10x1.10x9.70. Buy with confidence. Excellent Customer Service & Return policy. Cambridge University Press hardcover
2011DADAX0521196760Cambridge University Press 2011-09-30. New. hardcover. New. 7.10x1.10x9.70. Buy with confidence. Excellent Customer Service & Return policy. Cambridge University Press hardcover
201111058<p>Cambridge University Press 2011. 1st Edition . Hardcover. Very Good. Oversized hardcover xiii 417pp 4 pages of plates shipping weight over 1kg NOT ex-library. Owner's name inside the front board covered with a blank sticker. Book is clean and bright with unmarked text free of stamps firmly bound. Issued without a dust jacket. -- 'What's going to happen next' Time series data hold the answers and Bayesian methods represent the cutting edge in learning what they have to say. This ambitious book is the first unified treatment of the emerging knowledge-base in Bayesian time series techniques. Exploiting the unifying framework of probabilistic graphical models the book covers approximation schemes both Monte Carlo and deterministic and introduces switching multi-object non-parametric and agent-based models in a variety of application environments. It demonstrates that the basic framework supports the rapid creation of models tailored to specific applications and gives insight into the computational complexity of their implementation. The authors span traditional disciplines such as statistics and engineering and the more recently established areas of machine learning and pattern recognition. Readers with a basic understanding of applied probability but no experience with time series analysis are guided from fundamental concepts to the state-of-the-art in research and practice. -- Contents: 1. Inference and estimation in probabilistic time series models / David Barber A. Taylan Cemgil & Silvia Chiappa University of Cambridge; -- I. Monte Carlo -- 2. Adaptive Markov chain Monte Carlo: theory and methods / Yves Atchad Gersende Fort Eric Moulines & Pierre Priouret; 3. Auxiliary particle filtering: recent developments / Nick Whiteley & Adam M. Johansen; 4. Monte Carlo probabilistic inference for diffusion processes: a methodological framework / Omiros Papaspiliopoulos; -- II. Deterministic approximations -- 5. Two problems with variational expectation maximisation for time series models / Richard Eric Turner & Maneesh Sahani; 6. Approximate inference for continuous-time Markov processes / C dric Archambeau & Manfred Opper; 7. Expectation propagation and generalised EP methods for inference in switching linear dynamical systems / Onno Zoeter & Tom Heskes; 8. Approximate inference in switching linear dynamical systems using Gaussian mixtures / David Barber; -- III. Switching models -- 9. Physiological monitoring with factorial switching linear dynamical systems / John A. Quinn & Christopher K.I. Williams; 10. Analysis of changepoint models / Idris A. Eckley Paul Fearnhead & Rebecca Killick; -- IV. Multi-object models -- 11. Approximate likelihood estimation of static parameters in multi-target models / Sumeetpal S. Singh Nick Whiteley & Simon J. Godsill; 12. Sequential inference for dynamically evolving groups of objects / Sze Kim Pang Simon J. Godsill Jack Li Fran ois Septier & Simon Hill; 13. Non-commutative harmonic analysis in multi-object tracking / Risi Kondor; -- V. Nonparametric models -- 14. Markov chain Monte Carlo algorithms for Gaussian processes / Michalis K. Titsias Magnus Rattray & Neil D. Lawrence; 15. Nonparametric hidden Markov models / Jurgen Van Gael & Zoubin Ghahramani; 16. Bayesian Gaussian process models for multi-sensor time series prediction / Michael A. Osborne Alex Rogers Stephen J. Roberts Sarvapali D. Ramchurn & Nick R. Jennings; -- VI. Agent-based models -- 17. Optimal control theory and the linear Bellman equation / Hilbert J. Kappen; 18. Expectation maximisation methods for solving POMDPs and optimal control problems / Marc Toussaint Amos Storkey & Stefan Harmeling Biological Cybernetics; Index <br /><br /></p> Cambridge University Press hardcover
2011SKU-899AD01901031Cambridge University Press 2011. 1. Hardcover. Very Good. Very Good Minus; Hardcover; Covers are still glossy with a few light scratches; Unblemished textblock edges; The endpapers and all text pages are clean and unmarked; The binding is excellent with a straight spine; This book will be shipped in a sturdy cardboard box with foam padding; Medium-Large Format Quatro 9.75" - 10.75" tall; White purple and orange covers with title in black lettering; 2011 Cambridge University Press; 432 pages; "Bayesian Time Series Models" by David Barber. Cambridge University Press hardcover
20112092902139200008Cambridge University Press 2011. Soft Cover. Fine. The book is in fine condition. Cambridge University Press paperback
1904750532.Gpaperback. Good. Access codes and supplements are not guaranteed with used items. May be an ex-library book. paperback
1491701986.Ghardcover. Good. Access codes and supplements are not guaranteed with used items. May be an ex-library book. hardcover
2018043617England: Girls Gone By 2018. Book. New. Soft cover. 1st Edition. 3rd book in this popular connector set using the characters developed by Elinor Brent Dyer. . Girls Gone By Paperback
1847450547.Gpaperback. Good. Access codes and supplements are not guaranteed with used items. May be an ex-library book. paperback
