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ICML
2002
IEEE
16 years 4 months ago
Exact model averaging with naive Bayesian classifiers
The naive classifier is a well-established mathematical model whose simplicity, speed and accuracy have made it a popular choice for classification in AI and engineering. In this ...
Denver Dash, Gregory F. Cooper
ICML
2000
IEEE
16 years 4 months ago
Maximum Entropy Markov Models for Information Extraction and Segmentation
Hidden Markov models (HMMs) are a powerful probabilistic tool for modeling sequential data, and have been applied with success to many text-related tasks, such as part-of-speech t...
Andrew McCallum, Dayne Freitag, Fernando C. N. Per...
ICML
1997
IEEE
16 years 4 months ago
Characterizing the generalization performance of model selection strategies
Abstract: We investigate the structure of model selection problems via the bias/variance decomposition. In particular, we characterize the essential structure of a model selection ...
Dale Schuurmans, Lyle H. Ungar, Dean P. Foster
ICSE
2009
IEEE-ACM
16 years 4 months ago
Discovering and representing systematic code changes
Software engineers often inspect program differences when reviewing others' code changes, when writing check-in comments, or when determining why a program behaves differentl...
Miryung Kim, David Notkin
ICSE
2009
IEEE-ACM
16 years 4 months ago
Locating need-to-translate constant strings for software internationalization
Modern software applications require internationalization to be distributed to different regions of the world. In various situations, many software applications are not internatio...
Xiaoyin Wang, Lu Zhang, Tao Xie, Hong Mei, Jiasu S...
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