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ICDM
2008
IEEE
120views Data Mining» more  ICDM 2008»
14 years 2 months ago
Predicting Future Decision Trees from Evolving Data
Recognizing and analyzing change is an important human virtue because it enables us to anticipate future scenarios and thus allows us to act pro-actively. One approach to understa...
Mirko Böttcher, Martin Spott, Rudolf Kruse
CAI
2010
Springer
13 years 2 months ago
A Comparison of Decision Tree Classifiers for Automatic Diagnosis of Speech Recognition Errors
Present speech recognition systems are becoming more complex due to technology advances, optimizations and special requirements such as small computation and memory footprints. Pro...
Milos Cernak
KBS
2002
106views more  KBS 2002»
13 years 7 months ago
Hybrid decision tree
In this paper, a hybrid learning approach named HDT is proposed. HDT simulates human reasoning by using symbolic learning to do qualitative analysis and using neural learning to d...
Zhi-Hua Zhou, Zhaoqian Chen
KI
2002
Springer
13 years 7 months ago
Incremental Fuzzy Decision Trees
Abstract. We present a new classification algorithm that combines three properties: It generates decision trees, which proved a valuable and intelligible tool for classification an...
Marina Guetova, Steffen Hölldobler, Hans-Pete...
ESANN
2007
13 years 9 months ago
Learning topology of a labeled data set with the supervised generative gaussian graph
Abstract. Discovering the topology of a set of labeled data in a Euclidian space can help to design better decision systems. In this work, we propose a supervised generative model ...
Pierre Gaillard, Michaël Aupetit, Géra...