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» Improving Stability of Decision Trees
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INFOCOM
2011
IEEE
13 years 1 months ago
Forwarding anomalies in Bloom filter-based multicast
Abstract—Several recently proposed multicast protocols use inpacket Bloom filters to encode multicast trees. These mechanisms are in principle highly scalable because no per-fl...
Mikko Särelä, Christian Esteve Rothenber...
ICAS
2009
IEEE
139views Robotics» more  ICAS 2009»
14 years 4 months ago
Predicting Web Server Crashes: A Case Study in Comparing Prediction Algorithms
Abstract—Traditionally, performance has been the most important metrics when evaluating a system. However, in the last decades industry and academia have been paying increasing a...
Javier Alonso, Jordi Torres, Ricard Gavaldà
IDEAL
2000
Springer
14 years 1 months ago
Quantization of Continuous Input Variables for Binary Classification
Quantization of continuous variables is important in data analysis, especially for some model classes such as Bayesian networks and decision trees, which use discrete variables. Of...
Michal Skubacz, Jaakko Hollmén
CORR
2002
Springer
91views Education» more  CORR 2002»
13 years 9 months ago
Data Engineering for the Analysis of Semiconductor Manufacturing Data
We have analyzed manufacturing data from several different semiconductor manufacturing plants, using decision tree induction software called Q-YIELD. The software generates rules ...
Peter D. Turney
ICASSP
2010
IEEE
13 years 10 months ago
Language model adaptation using Random Forests
In this paper we investigate random forest based language model adaptation. Large amounts of out-of-domain data are used to grow the decision trees while very small amounts of in-...
Anoop Deoras, Frederick Jelinek, Yi Su