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Item 1 of 1
Item 1 of 1
Item 1 of 1
Springer
Kernel Based Algorithms for Mining Huge Data Sets : Supervised
Semi-supervised and Unsupervised Learning
SR 225 Per Month /4 months
This book is printed on demand and is non-refundable after purchase
Available Formats :
Printed Book
It will be sent to your address
SR 902
Inclusive of VAT
Or
About this Product
Support Vector Machines in Classification and Regression - An Introduction.- Iterative Single Data Algorithm for Kernel Machines from Huge Data Sets: Theory and Performance.- Feature Reduction with Support Vector Machines and Application in DNA Microarray Analysis.- Semi-supervised Learning and Applications.- Unsupervised Learning by Principal and Independent Component Analysis.
