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138
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KDD
1995
ACM
109views Data Mining» more  KDD 1995»
15 years 7 months ago
An Iterative Improvement Approach for the Discretization of Numeric Attributes in Bayesian Classifiers
The Bayesianclassifier is a simple approachto classification that producesresults that are easy for people to interpret. In many cases, the Bayesianclassifieris at leastasaccurate...
Michael J. Pazzani
IEEEPACT
1998
IEEE
15 years 8 months ago
A Matrix-Based Approach to the Global Locality Optimization Problem
Global locality analysis is a technique for improving the cache performance of a sequence of loop nests through a combination of loop and data layout optimizations. Pure loop tran...
Mahmut T. Kandemir, Alok N. Choudhary, J. Ramanuja...
137
Voted
EVOW
2008
Springer
15 years 5 months ago
Improving the Performance of Hierarchical Classification with Swarm Intelligence
In this paper we propose a new method to improve the performance of hierarchical classification. We use a swarm intelligence algorithm to select the type of classification algorith...
Nicholas Holden, Alex Alves Freitas
EUROPAR
2004
Springer
15 years 9 months ago
More Legal Transformations for Locality
Abstract. Program transformations are one of the most valuable compiler techniques to improve data locality. However, restructuring compilers have a hard time coping with data depe...
Cédric Bastoul, Paul Feautrier
ICPR
2008
IEEE
15 years 10 months ago
3D localization of partially buried object in unstructured environment
This paper describes a method to localize objects which are partially buried in an unstructured environment. The objects are limited to surfaces of revolution in the present study...
Kenichi Maruyama, Koji Oka, Ryuichi Takase, Yoshih...