Innovations in Machine Learning Theory and Applications /
Machine learning is currently one of the most rapidly growing areas of research in computer science. In compiling this volume we have brought together contributions from some of the most prestigious researchers in this field. This book covers the three main learning systems; symbolic learning, neura...
Συγγραφή απο Οργανισμό/Αρχή: | SpringerLink (Online service) |
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Άλλοι συγγραφείς: | Holmes, Dawn E. (Επιμελητής έκδοσης), Jain, Lakhmi C. (Επιμελητής έκδοσης) |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2006.
|
Σειρά: | Studies in Fuzziness and Soft Computing,
194 |
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Παρόμοια τεκμήρια
-
Innovations in Intelligent Machines - 1
Έκδοση: (2007) -
Machine Learning in Document Analysis and Recognition
Έκδοση: (2008) -
Innovations in Bayesian Networks Theory and Applications /
Έκδοση: (2008) -
Innovative Applications in Data Mining
Έκδοση: (2009) -
Intelligent Educational Machines Methodologies and Experiences /
Έκδοση: (2007)