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AICCSA
2006
IEEE
121views Hardware» more  AICCSA 2006»
13 years 9 months ago
Software Defect Prediction Using Regression via Classification
In this paper we apply a machine learning approach to the problem of estimating the number of defects called Regression via Classification (RvC). RvC initially automatically discr...
Stamatia Bibi, Grigorios Tsoumakas, Ioannis Stamel...
ICML
2005
IEEE
14 years 8 months ago
Efficient discriminative learning of Bayesian network classifier via boosted augmented naive Bayes
The use of Bayesian networks for classification problems has received significant recent attention. Although computationally efficient, the standard maximum likelihood learning me...
Yushi Jing, Vladimir Pavlovic, James M. Rehg
MICAI
2010
Springer
13 years 5 months ago
Recognizing Textual Entailment Using a Machine Learning Approach
We present our experiments on Recognizing Textual Entailment based on modeling the entailment relation as a classification problem. As features used to classify the entailment pair...
Miguel Angel Ríos Gaona, Alexander F. Gelbu...
COLING
2010
13 years 2 months ago
TimeML Events Recognition and Classification: Learning CRF Models with Semantic Roles
This paper analyzes the contribution of semantic roles to TimeML event recognition and classification. For that purpose, an approach using conditional random fields with a variety...
Hector Llorens, Estela Saquete, Borja Navarro-Colo...
PR
2010
147views more  PR 2010»
13 years 5 months ago
Minimum classification error learning for sequential data in the wavelet domain
Wavelet analysis has found widespread use in signal processing and many classification tasks. Nevertheless, its use in dynamic pattern recognition have been much more restricted ...
D. Tomassi, Diego H. Milone, L. Forzani