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IJCAI
1989
15 years 1 months ago
An Empirical Comparison of Pattern Recognition, Neural Nets, and Machine Learning Classification Methods
Classification methods from statistical pattern recognition, neural nets, and machine learning were applied to four real-world data sets. Each of these data sets has been previous...
Sholom M. Weiss, Ioannis Kapouleas
162
Voted
CATA
2009
15 years 1 months ago
Nearest Shrunken Centroid as Feature Selection of Microarray Data
The nearest shrunken centroid classifier uses shrunken centroids as prototypes for each class and test samples are classified to belong to the class whose shrunken centroid is nea...
Myungsook Klassen, Nyunsu Kim
GMP
2008
IEEE
192views Solid Modeling» more  GMP 2008»
15 years 27 days ago
Efficient Collision Detection Using a Dual Bounding Volume Hierarchy
We perform collision detection between static rigid objects using a bounding volume hierarchy which consists of an oriented bounding box (OBB) tree enhanced with bounding spheres. ...
Jung-Woo Chang, Wenping Wang, Myung-Soo Kim
119
Voted
IJISTA
2008
95views more  IJISTA 2008»
15 years 23 days ago
Mining manufacturing data using genetic algorithm-based feature set decomposition
Data mining methods can be used for discovering interesting patterns in manufacturing databases. These patterns can be used to improve manufacturing processes. However, data accum...
Lior Rokach
100
Voted
FUIN
2006
139views more  FUIN 2006»
15 years 23 days ago
Efficient Parallel Query Processing by Graph Ranking
In this paper we deal with the problem of finding an optimal query execution plan in database systems. We improve the analysis of a polynomial-time approximation algorithm due to M...
Dariusz Dereniowski, Marek Kubale