wyszukanych pozycji: 6
Neural Information Processing: 27th International Conference, Iconip 2020, Bangkok, Thailand, November 23-27, 2020, Proceedings, Part III
ISBN: 9783030638351 / Angielski / Miękka / 2020 / 643 str. Termin realizacji zamówienia: ok. 20 dni roboczych. |
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cena:
389,09 zł |
Neural Information Processing: 27th International Conference, Iconip 2020, Bangkok, Thailand, November 23-27, 2020, Proceedings, Part II
ISBN: 9783030638320 / Angielski / Miękka / 2020 / 823 str. Termin realizacji zamówienia: ok. 20 dni roboczych. |
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cena:
389,09 zł |
Neural Information Processing: 27th International Conference, Iconip 2020, Bangkok, Thailand, November 23-27, 2020, Proceedings, Part I
ISBN: 9783030638290 / Angielski / Miękka / 2020 / 813 str. Termin realizacji zamówienia: ok. 20 dni roboczych. |
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cena:
389,09 zł |
Neural Information Processing: 27th International Conference, Iconip 2020, Bangkok, Thailand, November 18-22, 2020, Proceedings, Part V
ISBN: 9783030638221 / Angielski / Miękka / 2020 / 844 str. Termin realizacji zamówienia: ok. 20 dni roboczych. |
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cena:
389,09 zł |
Neural Information Processing: 27th International Conference, Iconip 2020, Bangkok, Thailand, November 18-22, 2020, Proceedings, Part IV
ISBN: 9783030638191 / Angielski / Miękka / 2020 / 844 str. Termin realizacji zamówienia: ok. 20 dni roboczych. |
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cena:
389,09 zł |
Sparse Learning Under Regularization Framework
ISBN: 9783844330304 / Angielski / Miękka / 2011 / 152 str. Termin realizacji zamówienia: ok. 10-14 dni roboczych. Regularization is a dominant theme in machine learning and statistics due to its prominent ability in providing an intuitive and principled tool for learning from high-dimensional data. As large-scale learning applications become popular, developing efficient algorithms and parsimonious models become promising and necessary for these applications. Aiming at solving large-scale learning problems, this book tackles the key research problems ranging from feature selection to learning with mixed unlabeled data and learning data similarity representation. More specifically, we focus on the...
Regularization is a dominant theme in machine learning and statistics due to its prominent ability in providing an intuitive and principled tool for l...
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cena:
270,10 zł |