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 ...
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...
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 ...
Software engineers often inspect program differences when reviewing others' code changes, when writing check-in comments, or when determining why a program behaves differentl...
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...