Most decision tree classifiers are designed to keep class histograms for single attributes, and to select a particular attribute for the next split using said histograms. In this ...
Abstract—Existing approaches to P2P streaming can be divided into two general classes: (i) tree-based approaches use pushbased content delivery over multiple tree-shaped overlays...
— The Distributed Spanning Tree (DST) is an overlay structure designed to be scalable. It supports the growth from small scale to large scale. The DST is a tree without bottlenec...
We consider the deterministic and the randomized decision tree complexities for Boolean functions, denoted DC(f) and RC(f), respectively. A major open problem is how small RC(f) ca...
Machine learning with few training examples always leads to over-fitting problems, whereas human individuals are often able to recognize difficult object categories from only one ...