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» Discovering Test Set Regularities in Relational Domains
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IJISTA
2008
95views more  IJISTA 2008»
13 years 8 months 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
EDM
2009
179views Data Mining» more  EDM 2009»
13 years 6 months ago
Learning Factors Transfer Analysis: Using Learning Curve Analysis to Automatically Generate Domain Models
This paper describes a novel method to create a quantitative model of an educational content domain of related practice item-types using learning curves. By using a pairwise test t...
Philip I. Pavlik Jr., Hao Cen, Kenneth R. Koedinge...
EVOW
2003
Springer
14 years 1 months ago
Pixel Statistics and False Alarm Area in Genetic Programming for Object Detection
This paper describes a domain independent approach to the use of genetic programming for object detection problems. Rather than using raw pixels or high level domain specific feat...
Mengjie Zhang, Peter Andreae, Mark Pritchard
ENTCS
2008
120views more  ENTCS 2008»
13 years 8 months ago
Specifying and Executing Reactive Scenarios With Lutin
This paper presents the language Lutin and its operational semantics. This language specifically targets the domain of reactive systems, where an execution is a (virtually) infini...
Pascal Raymond, Yvan Roux, Erwan Jahier
BMVC
2001
13 years 10 months ago
Combining 3D Deformable Models and Level Set Methods for the Segmentation of Abdominal Aortic Aneurysms
In this paper we present a system that combines the benefits of 3D deformable models and level set methods for medical volume segmentation. Our 3D deformable model is a very comp...
Derek R. Magee, Andrew J. Bulpitt, Elizabeth Berry