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ICDE
2000
IEEE
130views Database» more  ICDE 2000»
14 years 11 months ago
CMP: A Fast Decision Tree Classifier Using Multivariate Predictions
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 ...
Haixun Wang, Carlo Zaniolo
INFOCOM
2007
IEEE
14 years 4 months ago
Mesh or Multiple-Tree: A Comparative Study of Live P2P Streaming Approaches
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...
Nazanin Magharei, Reza Rejaie, Yang Guo
ICPADS
2005
IEEE
14 years 4 months ago
Distributed Spanning Tree Algorithms for Large Scale Traversals
— 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...
Sylvain Dahan
COCO
1991
Springer
112views Algorithms» more  COCO 1991»
14 years 1 months ago
Randomized vs.Deterministic Decision Tree Complexity for Read-Once Boolean Functions
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...
Rafi Heiman, Avi Wigderson
VMV
2008
107views Visualization» more  VMV 2008»
13 years 11 months ago
Learning with Few Examples using a Constrained Gaussian Prior on Randomized Trees
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 ...
Erik Rodner, Joachim Denzler