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ICML
1998
IEEE
14 years 11 months ago
An Efficient Boosting Algorithm for Combining Preferences
We study the problem of learning to accurately rank a set of objects by combining a given collection of ranking or preference functions. This problem of combining preferences aris...
Yoav Freund, Raj D. Iyer, Robert E. Schapire, Yora...
SIGSOFT
2008
ACM
14 years 11 months ago
What makes a good bug report?
In software development, bug reports provide crucial information to developers. However, these reports widely differ in their quality. We conducted a survey among developers and u...
Nicolas Bettenburg, Sascha Just, Adrian Schrö...
SIGSOFT
2001
ACM
14 years 11 months ago
An empirical study on the utility of formal routines to transfer knowledge and experience
Most quality and software process improvement frameworks emphasize written (i.e. formal) documentation to convey recommended work practices. However, there is considerable skeptic...
Reidar Conradi, Tore Dybå
ISBI
2008
IEEE
14 years 11 months ago
Distributed online anomaly detection in high-content screening
This paper presents an automated, online approach to anomaly detection in high-content screening assays for pharmaceutical research. Online detection of anomalies is attractive be...
Adam Goode, Rahul Sukthankar, Lily B. Mummert, Mei...
WWW
2009
ACM
14 years 11 months ago
Large scale multi-label classification via metalabeler
The explosion of online content has made the management of such content non-trivial. Web-related tasks such as web page categorization, news filtering, query categorization, tag r...
Lei Tang, Suju Rajan, Vijay K. Narayanan