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» Experiments with Classifier Combining Rules
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FLAIRS
2006
15 years 2 months ago
Generalized Entropy for Splitting on Numerical Attributes in Decision Trees
Decision Trees are well known for their training efficiency and their interpretable knowledge representation. They apply a greedy search and a divide-and-conquer approach to learn...
Mingyu Zhong, Michael Georgiopoulos, Georgios C. A...
SDM
2010
SIAM
184views Data Mining» more  SDM 2010»
15 years 2 months ago
A Robust Decision Tree Algorithm for Imbalanced Data Sets
We propose a new decision tree algorithm, Class Confidence Proportion Decision Tree (CCPDT), which is robust and insensitive to class distribution and generates rules which are st...
Wei Liu, Sanjay Chawla, David A. Cieslak, Nitesh V...
LREC
2010
125views Education» more  LREC 2010»
15 years 2 months ago
Ontology-based Interoperation of Linguistic Tools for an Improved Lemma Annotation in Spanish
In this paper, we present an ontology-based methodology and architecture for the comparison, assessment, combination (and, to some extent, also contrastive evaluation) of the resu...
Antonio Pareja-Lora, Guadalupe Aguado de Cea
JMLR
2002
144views more  JMLR 2002»
15 years 1 months ago
Round Robin Classification
In this paper, we discuss round robin classification (aka pairwise classification), a technique for handling multi-class problems with binary classifiers by learning one classifie...
Johannes Fürnkranz
CIVR
2006
Springer
128views Image Analysis» more  CIVR 2006»
15 years 5 months ago
Using Topic Concepts for Semantic Video Shots Classification
Automatic semantic classification of video databases is very useful for users searching and browsing but it is a very challenging research problem as well. Combination of visual an...
Stéphane Ayache, Georges Quénot, J&e...