Abstraction, Aggregation and Recursion for Accurate and Simple Classifiers

By Dae-Ki Kang

In a typical inductive learning scenario, instances in a data set are simply represented as ordered tuples of attribute values. In my research, I explore three methodologies to improve the accuracy... This description may be from another edition of this product.

• Format: Paperback
• Language: English
• ISBN: 3639069765
• ISBN13: 9783639069761
• Release Date: October 2008
• Publisher: VDM Verlag Dr. Mueller E.K.
• Length: 144 Pages
• Weight: 0.44 lbs.
• Dimensions: 0.3" x 6.0" x 9.0"