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» Rapid Learning for Binary Programs
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IJCNN
2006
IEEE
14 years 1 months ago
Learning to Rank by Maximizing AUC with Linear Programming
— Area Under the ROC Curve (AUC) is often used to evaluate ranking performance in binary classification problems. Several researchers have approached AUC optimization by approxi...
Kaan Ataman, W. Nick Street, Yi Zhang
CEC
2010
IEEE
13 years 9 months ago
Generating a novel sort algorithm using Reinforcement Programming
Abstract-- Reinforcement Programming (RP) is a new approach to automatically generating algorithms, that uses reinforcement learning techniques. This paper describes the RP approac...
Spencer K. White, Tony R. Martinez, George L. Rudo...
EMSOFT
2004
Springer
14 years 1 months ago
Binary translation to improve energy efficiency through post-pass register re-allocation
Energy efficiency is rapidly becoming a first class optimization parameter for modern systems. Caches are critical to the overall performance and thus, modern processors (both hig...
Kun Zhang, Tao Zhang, Santosh Pande
GECCO
2009
Springer
150views Optimization» more  GECCO 2009»
14 years 2 months ago
Discrete dynamical genetic programming in XCS
A number of representation schemes have been presented for use within Learning Classifier Systems, ranging from binary encodings to neural networks. This paper presents results fr...
Richard Preen, Larry Bull
KDD
2006
ACM
272views Data Mining» more  KDD 2006»
14 years 8 months ago
YALE: rapid prototyping for complex data mining tasks
KDD is a complex and demanding task. While a large number of methods has been established for numerous problems, many challenges remain to be solved. New tasks emerge requiring th...
Ingo Mierswa, Michael Wurst, Ralf Klinkenberg, Mar...