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PRINCIPLES AND THEORY FOR DATA MINING AND MACHINE LEARNING IBD

SPRINGER
12 / 2011
9781461417071
Inglés

Sinopsis

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.