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ML
2008
ACM
222views Machine Learning» more  ML 2008»
14 years 9 months ago
Boosted Bayesian network classifiers
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
DAWAK
2006
Springer
15 years 1 months ago
Learning Classifiers from Distributed, Ontology-Extended Data Sources
Abstract. There is an urgent need for sound approaches to integrative and collaborative analysis of large, autonomous (and hence, inevitably semantically heterogeneous) data source...
Doina Caragea, Jun Zhang 0002, Jyotishman Pathak, ...
CASCON
2008
100views Education» more  CASCON 2008»
14 years 11 months ago
Is it a bug or an enhancement?: a text-based approach to classify change requests
Bug tracking systems are valuable assets for managing maintenance activities. They are widely used in open-source projects as well as in the software industry. They collect many d...
Giuliano Antoniol, Kamel Ayari, Massimiliano Di Pe...
PAKM
2008
14 years 11 months ago
Classifying Digital Resources in a Practical and Coherent Way with Easy-to-Get Features
With a rich variety of forms and types, digital resources are complex data objects. They grows fast in volume on the Web, but hard to be classified efficiently. The paper presents ...
Chong Chen, Hongfei Yan, Xiaoming Li
PAMI
2007
107views more  PAMI 2007»
14 years 9 months ago
Recognition of Pornographic Web Pages by Classifying Texts and Images
—With the rapid development of the World Wide Web, people benefit more and more from the sharing of information. However, Web pages with obscene, harmful, or illegal content can ...
Weiming Hu, Ou Wu, Zhouyao Chen, Zhouyu Fu, Stephe...