Ngā hua rapu - "Adaptive computation and machine learning."

Whakamahine hua
  1. 1

    Semi-supervised learning

    I whakaputaina 2006
    “…Adaptive computation and machine learning.…”
    An electronic book accessible through the World Wide Web; click to view
    Tāhiko īPukapuka
  2. 2

    The minimum description length principle Gr?unwald, Peter D.

    I whakaputaina 2007
    “…Adaptive computation and machine learning.…”
    An electronic book accessible through the World Wide Web; click to view
    Tāhiko īPukapuka
  3. 3

    Gaussian processes for machine learning Rasmussen, Carl Edward

    I whakaputaina 2006
    “…Adaptive computation and machine learning.…”
    An electronic book accessible through the World Wide Web; click to view
    Tāhiko īPukapuka
  4. 4

    Bioinformatics the machine learning approach / Baldi, Pierre

    I whakaputaina 2001
    “…Adaptive computation and machine learning.…”
    An electronic book accessible through the World Wide Web; click to view
    Tāhiko īPukapuka
  5. 5

    Learning with kernels support vector machines, regularization, optimization, and beyond / Schölkopf, Bernhard

    I whakaputaina 2002
    “…Adaptive computation and machine learning.…”
    An electronic book accessible through the World Wide Web; click to view
    Tāhiko īPukapuka
  6. 6

    Machine learning in non-stationary environments introduction to covariate shift adaptation / Sugiyama, Masashi, 1974-

    I whakaputaina 2012
    “…Adaptive computation and machine learning.…”
    An electronic book accessible through the World Wide Web; click to view
    Tāhiko īPukapuka
  7. 7

    Boosting foundations and algorithms / Schapire, Robert E.

    I whakaputaina 2012
    “…Adaptive computation and machine learning.…”
    An electronic book accessible through the World Wide Web; click to view
    Tāhiko īPukapuka
  8. 8

    Introduction to machine learning / Alpaydin, Ethem

    I whakaputaina 2014
    “…Adaptive computation and machine learning.…”
    An electronic book accessible through the World Wide Web; click to view
    Tāhiko īPukapuka
  9. 9

    Machine learning in non-stationary environments introduction to covariate shift adaptation / Sugiyama, Masashi, 1974-

    I whakaputaina 2012
    “…Adaptive computation and machine learning.…”
    An electronic book accessible through the World Wide Web; click to view
    Tāhiko īPukapuka
  10. 10

    Boosting foundations and algorithms / Schapire, Robert E.

    I whakaputaina 2012
    “…Adaptive computation and machine learning.…”
    An electronic book accessible through the World Wide Web; click to view
    Tāhiko īPukapuka
  11. 11

    Introduction to machine learning / Alpaydin, Ethem

    I whakaputaina 2014
    “…Adaptive computation and machine learning.…”
    An electronic book accessible through the World Wide Web; click to view
    Tāhiko īPukapuka
  12. 12

    Semi-supervised learning

    I whakaputaina 2006
    “…Adaptive computation and machine learning.…”
    An electronic book accessible through the World Wide Web; click to view
    Tāhiko īPukapuka
  13. 13

    The minimum description length principle Gr?unwald, Peter D.

    I whakaputaina 2007
    “…Adaptive computation and machine learning.…”
    An electronic book accessible through the World Wide Web; click to view
    Tāhiko īPukapuka
  14. 14

    Gaussian processes for machine learning Rasmussen, Carl Edward

    I whakaputaina 2006
    “…Adaptive computation and machine learning.…”
    An electronic book accessible through the World Wide Web; click to view
    Tāhiko īPukapuka
  15. 15

    Bioinformatics the machine learning approach / Baldi, Pierre

    I whakaputaina 2001
    “…Adaptive computation and machine learning.…”
    An electronic book accessible through the World Wide Web; click to view
    Tāhiko īPukapuka
  16. 16

    Learning with kernels support vector machines, regularization, optimization, and beyond / Schölkopf, Bernhard

    I whakaputaina 2002
    “…Adaptive computation and machine learning.…”
    An electronic book accessible through the World Wide Web; click to view
    Tāhiko īPukapuka
  17. 17

    Machine Learning for Data Streams : with Practical Examples in MOA / Bifet, Albert, Pfahringer, Bernhard, Holmes, Geoffrey, Gavaldà, Ricard, 1964-

    I whakaputaina 2017
    “…Adaptive computation and machine learning…”
    Full text available:
    Tāhiko īPukapuka
  18. 18

    Reinforcement Learning : An Introduction / Sutton, Richard S.

    I whakaputaina 1998
    “…Adaptive computation and machine learning…”
    Full text available:
    Tāhiko īPukapuka
  19. 19

    Machine Learning for Data Streams : with Practical Examples in MOA / Bifet, Albert, Pfahringer, Bernhard, Holmes, Geoffrey, Gavaldà, Ricard, 1964-

    I whakaputaina 2017
    “…Adaptive computation and machine learning…”
    Full text available:
    Tāhiko īPukapuka
  20. 20

    Reinforcement Learning : An Introduction / Sutton, Richard S.

    I whakaputaina 1998
    “…Adaptive computation and machine learning…”
    Full text available:
    Tāhiko īPukapuka