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APCCM
2009
15 years 1 months ago
Multi-Level Domain Modeling with M-Objects and M-Relationships
Using traditional semantic data modeling, multi-level modeling can be achieved by representing objects in different abstraction hierarchies, namely classification, aggregation and...
Bernd Neumayr, Katharina Grün, Michael Schref...
IJPRAI
2002
93views more  IJPRAI 2002»
14 years 11 months ago
Improving Stability of Decision Trees
Decision-tree algorithms are known to be unstable: small variations in the training set can result in different trees and different predictions for the same validation examples. B...
Mark Last, Oded Maimon, Einat Minkov
ICRA
2009
IEEE
170views Robotics» more  ICRA 2009»
15 years 6 months ago
Imitation learning with generalized task descriptions
— In this paper, we present an approach that allows a robot to observe, generalize, and reproduce tasks observed from multiple demonstrations. Motion capture data is recorded in ...
Clemens Eppner, Jürgen Sturm, Maren Bennewitz...
KDD
2000
ACM
129views Data Mining» more  KDD 2000»
15 years 3 months ago
Evolutionary algorithms in data mining: multi-objective performance modeling for direct marketing
Predictive models in direct marketing seek to identify individuals most likely to respond to promotional solicitations or other intervention programs. While standard modeling appr...
Siddhartha Bhattacharyya
BMCBI
2006
150views more  BMCBI 2006»
14 years 12 months ago
Instance-based concept learning from multiclass DNA microarray data
Background: Various statistical and machine learning methods have been successfully applied to the classification of DNA microarray data. Simple instance-based classifiers such as...
Daniel P. Berrar, Ian Bradbury, Werner Dubitzky