Learning a sequence classifier means learning to predict a sequence of output tags based on a set of input data items. For example, recognizing that a handwritten word is "ca...
There is significant experimental evidence that prediction markets are efficient mechanisms for aggregating information and are more accurate in forecasting events than tradition...
Disk images (bitstreams extracted from physical media) can play an essential role in the acquisition and management of digital collections by serving as containers that support da...
We consider a near future scenario in which users of a Web 2.0 application, such as a social network, contribute to the application not only data, but also rules which automatical...
We performed an empirical study to characterize factors that affect which bugs get fixed in Windows Vista and Windows 7, focusing on factors related to bug report edits and relat...
Philip J. Guo, Thomas Zimmermann, Nachiappan Nagap...