Ditapis dengan
Nonlinear system identification by Haar Wavelets
In order to precisely model real-life systems or man-made devices, both nonlinear and dynamic properties need to be taken into account. The generic, black-box model based on Volterra and Wiener series is capable of representing fairly complicated nonlinear and dynamic interactions, however, the resulting identification algorithms are impractical, mainly due to their computational complexity.…
- Edisi
- Ed.1
- ISBN/ISSN
- 9783642293962
- Deskripsi Fisik
- xi, 139 hlm.
- Judul Seri
- -
- No. Panggil
- E745
Classification and data mining
This volume contains both methodological papers showing new original methods, and papers on applications illustrating how new domain-specific knowledge can be made available from data by clever use of data analysis methods. The volume is subdivided in three parts: Classification and Data Analysis; Data Mining; and Applications. The selection of peer reviewed papers ha…
- Edisi
- Ed.1
- ISBN/ISSN
- 9783642288944
- Deskripsi Fisik
- xiv, 286 hlm.
- Judul Seri
- -
- No. Panggil
- E744
New Perspectives in Partial Least Squares and Related Methods
New Perspectives in Partial Least Squares and Related Methods shares original, peer-reviewed research from presentations during the 2012 partial least squares methods meeting (PLS 2012). This was the 7th meeting in the series of PLS conferences and the first to take place in the USA. PLS is an abbreviation for Partial Least Squares and is also sometimes expanded as projection to latent structur…
- Edisi
- 1
- ISBN/ISSN
- 9781461482833
- Deskripsi Fisik
- XXIII, 344 hlm.
- Judul Seri
- -
- No. Panggil
- E630
Empirical inference
This book honours the outstanding contributions of Vladimir Vapnik, a rare example of a scientist for whom the following statements hold true simultaneously: his work led to the inception of a new field of research, the theory of statistical learning and empirical inference; he has lived to see the field blossom; and he is still as active as ever. He started analyzing learning algorithms in the…
- Edisi
- -
- ISBN/ISSN
- 9783642411366
- Deskripsi Fisik
- xix, 287 hlm. ; il. warna
- Judul Seri
- -
- No. Panggil
- E1307
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