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ICML
1998
IEEE
14 years 10 months ago
Bayesian Network Classification with Continuous Attributes: Getting the Best of Both Discretization and Parametric Fitting
In a recent paper, Friedman, Geiger, and Goldszmidt [8] introduced a classifier based on Bayesian networks, called Tree Augmented Naive Bayes (TAN), that outperforms naive Bayes a...
Moisés Goldszmidt, Nir Friedman, Thomas J. ...
SIGSOFT
2009
ACM
14 years 10 months ago
Darwin: an approach for debugging evolving programs
Debugging refers to the laborious process of finding causes of program failures. Often, such failures are introduced when a program undergoes changes and evolves from a stable ver...
Dawei Qi, Abhik Roychoudhury, Zhenkai Liang, Kapil...
SIGSOFT
2007
ACM
14 years 10 months ago
Mining specifications of malicious behavior
Malware detectors require a specification of malicious behavior. Typically, these specifications are manually constructed by investigating known malware. We present an automatic t...
Mihai Christodorescu, Somesh Jha, Christopher Krue...
SIGSOFT
2001
ACM
14 years 10 months ago
WREN---an environment for component-based development
Prior research in software environments focused on three important problems-- tool integration, artifact management, and process guidance. The context for that research, and hence...
Chris Lüer, David S. Rosenblum
WWW
2008
ACM
14 years 10 months ago
Learning to classify short and sparse text & web with hidden topics from large-scale data collections
This paper presents a general framework for building classifiers that deal with short and sparse text & Web segments by making the most of hidden topics discovered from larges...
Xuan Hieu Phan, Minh Le Nguyen, Susumu Horiguchi
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