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Aleksandr Aravkin , Anna Choromanska , Li Deng , Georg Heigold , Tony Jebara (1)
Gokhan Bakir, Thomas Hofmann, Alexander J. Smola, Ben Taskar, S. V. N. Vishwanathan (1)
Irina Rish, Guillermo A. Cecchi, Aurelie Lozano, Alexandru Niculescu-mizil (1)
Lawrence K. Saul, Yair Weiss, Leon Bottou (1)
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Suvrit Sra, Sebastian Nowozin, Stephen J. Wright, Suvrit Sra (1)
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Yair Weiss, Bernhard Scholkopf, John C. Platt (1)
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12筆商品,1/1頁
Large-Scale Kernel Machines
作者:Leon Bottou; Olivier Chapelle; Dennis Decoste; Jason Weston  出版社:Mit Pr  出版日:2007/08/17 裝訂:精裝
This volume offers researchers and engineers practical solutions for learning from large-scale datasets, with detailed descriptions of algorithms and experiments carried out on realistically large dat
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Advances in Neural Information Processing Systems ─ Proceedings of the First 12 Conferences
滿額折
作者:Michael I. Jordan (EDT); Yann Lecun (EDT); Sara A. Solla (EDT)  出版社:Mit Pr  出版日:2001/11/01 裝訂:精裝
Contains the entire proceedings of the twelve neural information processing system conferences from 1988 to 1999. Includes free browsers for all major platforms.
定價:2625 元, 優惠價:79 2074
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Practical Applications of Sparse Modeling
作者:Irina Rish; Guillermo A. Cecchi; Aurelie Lozano; Alexandru Niculescu-mizil  出版社:Mit Pr  出版日:2014/09/12 裝訂:精裝
Sparse modeling is a rapidly developing area at the intersection of statisticallearning and signal processing, motivated by the age-old statistical problem of selecting a smallnumber of predictive var
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Optimization for Machine Learning
作者:Suvrit Sra; Sebastian Nowozin; Stephen J. Wright  出版社:Mit Pr  出版日:2011/09/30 裝訂:精裝
The interplay between optimization and machine learning is one of the most importantdevelopments in modern computational science. Optimization formulations and methods are proving tobe vital in design
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Log-linear Models, Extensions, and Applications
79折
作者:Aleksandr Aravkin ; Anna Choromanska ; Li Deng ; Georg Heigold ; Tony Jebara  出版社:Mit Pr  出版日:2018/11/27 裝訂:精裝
Advances in training models with log-linear structures, with topics including variable selection, the geometry of neural nets, and applications.Log-linear models play a key role in modern big data and
定價:3000 元, 優惠價:79 2370
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Perturbations, Optimization, and Statistics
作者:Tamir Hazan; George Papandreou; Daniel Tarlow  出版社:Mit Pr  出版日:2016/12/23 裝訂:精裝
In nearly all machine learning, decisions must be made given current knowledge. Surprisingly, making what is believed to be the best decision is not always the best strategy, even when learning in a s
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Advanced Structured Prediction
作者:Sebastian Nowozin; Peter V. Gehler; Jeremy Jancsary; Christoph H. Lampert  出版社:Mit Pr  出版日:2014/12/05 裝訂:精裝
The goal of structured prediction is to build machine learning models that predictrelational information that itself has structure, such as being composed of multiple interrelatedparts. These models,
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Probabilistic Models of the Brain ― Perception and Neural Function
作者:Rajesh P. N. Rao; Bruno A. Olshausen; Michael S. Lewicki  出版社:Bradford Books  出版日:2002/03/29 裝訂:平裝
Neurophysiological, neuroanatomical, and brain imaging studies have helped to shed light on how the brain transforms raw sensory information into a form that is useful for goal-directed behavior. A fu
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Optimization for Machine Learning
作者:Suvrit Sra; Sebastian Nowozin; Stephen J. Wright; Suvrit Sra  出版社:Mit Pr  出版日:2011/09/30 裝訂:平裝
An up-to-date account of the interplay between optimization and machine learning, accessible to students and researchers in both communities. The interplay between optimization and machine learning
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Advances in Neural Information Processing Systems 18 ― Proceedings of the 2005 Conference
作者:Yair Weiss; Bernhard Scholkopf; John C. Platt  出版社:Bradford Books  出版日:2006/05/19 裝訂:精裝
Papers from the 2005 flagship meeting on neural computation, with contributions fromphysicists, neuroscientists, mathematicians, statisticians, and computer scientists.
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Advances In Neural Information Processing Systems―Proceedings Of The 2004 Conference
作者:Lawrence K. Saul; Yair Weiss; Leon Bottou  出版社:Bradford Books  出版日:2005/05/20 裝訂:精裝
The annual Neural Information Processing Systems (NIPS) conference is the flagshipmeeting on neural computation. It draws a diverse group of attendees -- physicists, neuroscientists,mathematicians, st
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Predicting Structured Data
作者:Gokhan Bakir; Thomas Hofmann; Alexander J. Smola; Ben Taskar; S. V. N. Vishwanathan  出版社:Mit Pr  出版日:2007/07/27 裝訂:精裝
Machine learning develops intelligent computer systems that are able to generalizefrom previously seen examples. A new domain of machine learning, in which the prediction mustsatisfy the additional co
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