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» Decision trees do not generalize to new variations
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KDD
2000
ACM
97views Data Mining» more  KDD 2000»
14 years 5 days ago
Towards an effective cooperation of the user and the computer for classification
Decision trees have been successfully used for the task of classification. However, state-of-the-art algorithms do not incorporate the user in the tree construction process. This ...
Mihael Ankerst, Martin Ester, Hans-Peter Kriegel
ESWA
2006
122views more  ESWA 2006»
13 years 8 months ago
Transmembrane segments prediction and understanding using support vector machine and decision tree
In recent years, there have been many studies focusing on improving the accuracy of prediction of transmembrane segments, and many significant results have been achieved. In spite...
Jieyue He, Hae-Jin Hu, Robert W. Harrison, Phang C...
JOTA
2011
98views more  JOTA 2011»
13 years 3 months ago
Generic Stability and Essential Components of Generalized KKM Points and Applications
We propose the definition of T-KKM points and consider generic stability of T-KKM mappings and essential components of sets of T-KKM points. As applications, using a unified appr...
Phan Quoc Khanh, Nguyen Hong Quan
CORR
2010
Springer
150views Education» more  CORR 2010»
13 years 8 months ago
Extraction of Symbolic Rules from Artificial Neural Networks
Although backpropagation ANNs generally predict better than decision trees do for pattern classification problems, they are often regarded as black boxes, i.e., their predictions c...
S. M. Kamruzzaman, Md. Monirul Islam
JMLR
2008
111views more  JMLR 2008»
13 years 8 months ago
Ranking Categorical Features Using Generalization Properties
Feature ranking is a fundamental machine learning task with various applications, including feature selection and decision tree learning. We describe and analyze a new feature ran...
Sivan Sabato, Shai Shalev-Shwartz