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COMSIS
2011
10 years 5 months ago
Ontology-based multi-label classification of economic articles
The paper presents an approach to the task of automatic document categorization in the field of economics. Since the documents can be annotated with multiple keywords (labels), we ...
Sergeja Vogrincic, Zoran Bosnic
AIED
2011
Springer
10 years 5 months ago
Early Prediction of Cognitive Tool Use in Narrative-Centered Learning Environments
Narrative-centered learning environments introduce novel opportunities for supporting student problem solving and learning. By incorporating cognitive tools into plots and characte...
Lucy R. Shores, Jonathan P. Rowe, James C. Lester
BMCBI
2011
10 years 8 months ago
Multiclass classification of microarray data samples with a reduced number of genes
Background: Multiclass classification of microarray data samples with a reduced number of genes is a rich and challenging problem in Bioinformatics research. The problem gets hard...
Elizabeth Tapia, Leonardo Ornella, Pilar Bulacio, ...
JMLR
2002
106views more  JMLR 2002»
11 years 1 months ago
Some Greedy Learning Algorithms for Sparse Regression and Classification with Mercer Kernels
We present some greedy learning algorithms for building sparse nonlinear regression and classification models from observational data using Mercer kernels. Our objective is to dev...
Prasanth B. Nair, Arindam Choudhury 0002, Andy J. ...
TSE
2008
148views more  TSE 2008»
11 years 1 months ago
Benchmarking Classification Models for Software Defect Prediction: A Proposed Framework and Novel Findings
Software defect prediction strives to improve software quality and testing efficiency by constructing predictive classification models from code attributes to enable a timely ident...
Stefan Lessmann, Bart Baesens, Christophe Mues, Sw...
FBIT
2007
IEEE
11 years 5 months ago
Early Detection of Prostate Cancer with Classifier Ensembles
We investigate the performance of different classification models and their ability to recognize prostate cancer in an early state. We build ensembles of classification models in ...
Jörg D. Wichard, Henning Cammann, Carsten Ste...
ICSE
1997
IEEE-ACM
11 years 5 months ago
Characterizing and Modeling the Cost of Rework in a Library of Reusable Software Components
1 In this paper we characterize and model the cost of rework in a Component Factory (CF) organization. A CF is responsible for developing and packaging reusable software components...
Victor R. Basili, Steven E. Condon, Khaled El Emam...
ECML
2004
Springer
11 years 6 months ago
SWITCH: A Novel Approach to Ensemble Learning for Heterogeneous Data
The standard framework of machine learning problems assumes that the available data is independent and identically distributed (i.i.d.). However, in some applications such as image...
Rong Jin, Huan Liu
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