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ICML
2008
IEEE
16 years 5 months ago
Listwise approach to learning to rank: theory and algorithm
This paper aims to conduct a study on the listwise approach to learning to rank. The listwise approach learns a ranking function by taking individual lists as instances and minimi...
Fen Xia, Tie-Yan Liu, Jue Wang, Wensheng Zhang, Ha...
ICML
2005
IEEE
16 years 5 months ago
Healing the relevance vector machine through augmentation
The Relevance Vector Machine (RVM) is a sparse approximate Bayesian kernel method. It provides full predictive distributions for test cases. However, the predictive uncertainties ...
Carl Edward Rasmussen, Joaquin Quiñonero Ca...
SIGSOFT
2008
ACM
16 years 5 months ago
Can developer-module networks predict failures?
Software teams should follow a well defined goal and keep their work focused. Work fragmentation is bad for efficiency and quality. In this paper we empirically investigate the re...
Martin Pinzger, Nachiappan Nagappan, Brendan Murph...
168
Voted
SIGSOFT
2007
ACM
16 years 5 months ago
Efficient token based clone detection with flexible tokenization
Code clones are similar code fragments that occur at multiple locations in a software system. Detection of code clones provides useful information for maintenance, reengineering, ...
Hamid Abdul Basit, Stan Jarzabek
139
Voted
SIGSOFT
2006
ACM
16 years 5 months ago
Questions programmers ask during software evolution tasks
Though many tools are available to help programmers working on change tasks, and several studies have been conducted to understand how programmers comprehend systems, little is kn...
Jonathan Sillito, Gail C. Murphy, Kris De Volder
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