Bokus

Neural Information Processing series

Visar alla böcker i serien Neural Information Processing series. Handla med fri frakt och snabb leverans.

  1. Probabilistic Models of the Brain

    Probabilistic Models of the Brain

    Rajesh P.N. Rao, Bruno A. Olshausen, Michael S. Lewicki · 2002

  2. Predicting Structured Data

    Predicting Structured Data

    Gökhan BakIr, Thomas Hofmann, Bernhard Schölkopf, Alexander J. Smola, Ben Taskar, S.V.N Vishwanathan · 2007

  3. Optimization for Machine Learning

    Optimization for Machine Learning

    Suvrit Sra, Sebastian Nowozin, Stephen J. Wright · 2011

  4. Introduction to Lifted Probabilistic Inference

    Introduction to Lifted Probabilistic Inference

    Guy Van den Broeck, Kristin Kersting, Guy Van Den Broeck, Kristian Kersting, Guy Van den Broeck, Guy van den Broeck, Sriraam Natarajan · 2021

  5. Dataset Shift in Machine Learning

    Dataset Shift in Machine Learning

    Joaquin Quinonero-Candela, Masashi Sugiyama, Anton Schwaighofer, Neil D. Lawrence · 2022

  6. Perturbations, Optimization, and Statistics

    Perturbations, Optimization, and Statistics

    Tamir Hazan, George Papandreou, Daniel Tarlow · 2023

  7. Log-Linear Models, Extensions, and Applications

    Log-Linear Models, Extensions, and Applications

    Aleksandr Aravkin, Anna Choromanska, Li Deng, Georg Heigold, Tony Jebara · 2024

  8. Large-Scale Kernel Machines

    Large-Scale Kernel Machines

    Léon Bottou, Olivier Chapelle, Dennis DeCoste, Jason Weston · 2007

  9. Practical Applications of Sparse Modeling

    Practical Applications of Sparse Modeling

    Irina Rish, Guillermo A. Cecchi, Aurelie Lozano, Alexandru Niculescu-Mizil · 2014

  10. Advanced Structured Prediction

    Advanced Structured Prediction

    Sebastian Nowozin, Peter V. Gehler, Jeremy Jancsary, Christoph H. Lampert · 2014

  11. Log-Linear Models, Extensions, and Applications

    Log-Linear Models, Extensions, and Applications

    University of Washington) Aravkin, Aleksandr (Professor, Anna Choromanska, Li (Microsoft Research) Deng, Georg (Google Research) Heigold, Tony (Columbia University) Jebara, Dimitri (IBM T. J. Watson Research Center) Kanevsky, Stephen J. (University of Wisconsin-Madison) Wright · 2018

  12. Learning Machine Translation

    Learning Machine Translation

    Cyril Goutte, Nicola Cancedda, Marc Dymetman, George Foster · 2008

  13. Advances in Large-Margin Classifiers

    Advances in Large-Margin Classifiers

    Alexander J. Smola, Peter Bartlett, Bernhard Schölkopf, Dale Schuurmans · 2000

  14. Nearest-Neighbor Methods in Learning and Vision

    Nearest-Neighbor Methods in Learning and Vision

    Gregory Shakhnarovich, Trevor Darrell, Piotr Indyk · 2006