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» A Fast Decision Tree Learning Algorithm
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CEC
2010
IEEE
15 years 19 hour ago
Improving GP classification performance by injection of decision trees
This paper presents a novel hybrid method combining genetic programming and decision tree learning. The method starts by estimating a benchmark level of reasonable accuracy, based ...
Rikard König, Ulf Johansson, Tuve Löfstr...
88
Voted
FCCM
2004
IEEE
91views VLSI» more  FCCM 2004»
15 years 2 months ago
An FPGA Interpolation Processor for Soft-Decision Reed-Solomon Decoding
We propose a parallel architecture for implementing the interpolation step in the Koetter-Vardy soft-decision ReedSolomon decoding algorithm. The key feature is the embedding of b...
Warren J. Gross, Frank R. Kschischang, P. Glenn Gu...
IJPRAI
2002
93views more  IJPRAI 2002»
14 years 10 months ago
Improving Stability of Decision Trees
Decision-tree algorithms are known to be unstable: small variations in the training set can result in different trees and different predictions for the same validation examples. B...
Mark Last, Oded Maimon, Einat Minkov
84
Voted
ICML
2003
IEEE
15 years 11 months ago
The Cross Entropy Method for Fast Policy Search
We present a learning framework for Markovian decision processes that is based on optimization in the policy space. Instead of using relatively slow gradient-based optimization al...
Shie Mannor, Reuven Y. Rubinstein, Yohai Gat
118
Voted
ESWA
2006
122views more  ESWA 2006»
14 years 11 months ago
Transmembrane segments prediction and understanding using support vector machine and decision tree
In recent years, there have been many studies focusing on improving the accuracy of prediction of transmembrane segments, and many significant results have been achieved. In spite...
Jieyue He, Hae-Jin Hu, Robert W. Harrison, Phang C...