We address feature selection problems for classification of small samples and high dimensionality. A practical example is microarray-based cancer classification problems, where sa...
We present baseline results for the joint segmentation and classification of dialog acts (DAs) of the ICSI Meeting Corpus. Two simple approaches based on word information are inve...
Matthias Zimmermann, Yang Liu, Elizabeth Shriberg,...
The use of Bayesian networks for classification problems has received significant recent attention. Although computationally efficient, the standard maximum likelihood learning me...
We study hierarchical classification in the general case when an instance could belong to more than one class node in the underlying taxonomy. Experiments done in previous work sh...
— Our work explores the use of several text categorization techniques for classification of manufacturing quality defect and service shop data sets into fixed categories. Althoug...