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ICML
1998
IEEE
16 years 5 days 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
16 years 3 days 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
16 years 3 days 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
16 years 2 days 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
16 years 1 days 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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