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PKDD
2005
Springer
167views Data Mining» more  PKDD 2005»
15 years 10 months ago
Hybrid Cost-Sensitive Decision Tree
Cost-sensitive decision tree and cost-sensitive naïve Bayes are both new cost-sensitive learning models proposed recently to minimize the total cost of test and misclassifications...
Shengli Sheng, Charles X. Ling
162
Voted
ICVS
2003
Springer
15 years 9 months ago
Automatic Mapping of Settlement Areas Using a Knowledge-Based Image Interpretation System
Abstract. We introduce the knowledge-based image interpretation system GeoAIDA and give examples for an image operator, extracting trees from aerial imagery. Moreover we present a ...
Bernd-Michael Straub, Markus Gerke, Martin Pahl
UMUAI
1998
128views more  UMUAI 1998»
15 years 4 months ago
Using Decision Trees for Agent Modeling: Improving Prediction Performance
A modeling system may be required to predict an agent’s future actions under constraints of inadequate or contradictory relevant historical evidence. This can result in low predi...
Bark Cheung Chiu, Geoffrey I. Webb
ILP
2003
Springer
15 years 9 months ago
Mining Model Trees: A Multi-relational Approach
In many data mining tools that support regression tasks, training data are stored in a single table containing both the target field (dependent variable) and the attributes (indepe...
Annalisa Appice, Michelangelo Ceci, Donato Malerba
BMCBI
2010
172views more  BMCBI 2010»
15 years 4 months ago
Inferring gene regression networks with model trees
Background: Novel strategies are required in order to handle the huge amount of data produced by microarray technologies. To infer gene regulatory networks, the first step is to f...
Isabel A. Nepomuceno-Chamorro, Jesús S. Agu...