Bertrand Clarke,
Ernest Fokoue,
Hao Helen Zhang
Springer New York
2009e druk, 2009
9780387981345
Principles and Theory for Data Mining and Machine Learning
Specificaties
Gebonden, 786 blz.
|
Engels
Springer New York |
2009e druk, 2009
ISBN13: 9780387981345
Rubricering
Onderdeel van serie
Springer Series in Statistics
Levertijd ongeveer 8 werkdagen
Samenvatting
Extensive treatment of the most up-to-date topics
Provides the theory and concepts behind popular and emerging methods
Range of topics drawn from Statistics, Computer Science, and Electrical Engineering
Specificaties
ISBN13:9780387981345
Taal:Engels
Bindwijze:gebonden
Aantal pagina's:786
Uitgever:Springer New York
Druk:2009
Hoofdrubriek:Automatisering algemeen, Computer en informatica
Inhoudsopgave
Variability, Information, and Prediction.- Local Smoothers.- Spline Smoothing.- New Wave Nonparametrics.- Supervised Learning: Partition Methods.- Alternative Nonparametrics.- Computational Comparisons.- Unsupervised Learning: Clustering.- Learning in High Dimensions.- Variable Selection.- Multiple Testing.