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CIKM
2008
Springer
13 years 9 months ago
Learning a two-stage SVM/CRF sequence classifier
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...
Guilherme Hoefel, Charles Elkan
SIGECOM
2009
ACM
118views ECommerce» more  SIGECOM 2009»
14 years 2 months ago
Modeling volatility in prediction markets
There is significant experimental evidence that prediction markets are efficient mechanisms for aggregating information and are more accurate in forecasting events than tradition...
Nikolay Archak, Panagiotis G. Ipeirotis
JCDL
2011
ACM
260views Education» more  JCDL 2011»
12 years 10 months ago
Extending digital repository architectures to support disk image preservation and access
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...
Kam Woods, Christopher A. Lee, Simson Garfinkel
EDBT
2009
ACM
156views Database» more  EDBT 2009»
14 years 15 days ago
Evaluating very large datalog queries on social networks
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...
Royi Ronen, Oded Shmueli
ICSE
2010
IEEE-ACM
14 years 20 days ago
Characterizing and predicting which bugs get fixed: an empirical study of Microsoft Windows
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...