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» An informational energy LVQ approach for feature ranking
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ACMSE
2010
ACM
13 years 2 months ago
Learning to rank using 1-norm regularization and convex hull reduction
The ranking problem appears in many areas of study such as customer rating, social science, economics, and information retrieval. Ranking can be formulated as a classification pro...
Xiaofei Nan, Yixin Chen, Xin Dang, Dawn Wilkins
CIKM
2000
Springer
13 years 11 months ago
Boosting for Document Routing
RankBoost is a recently proposed algorithm for learning ranking functions. It is simple to implement and has strong justifications from computational learning theory. We describe...
Raj D. Iyer, David D. Lewis, Robert E. Schapire, Y...
KBSE
2007
IEEE
14 years 1 months ago
Feature location via information retrieval based filtering of a single scenario execution trace
The paper presents a semi-automated technique for feature location in source code. The technique is based on combining information from two different sources: an execution trace, ...
Dapeng Liu, Andrian Marcus, Denys Poshyvanyk, Vacl...
WWW
2011
ACM
13 years 2 months ago
Ranking in context-aware recommender systems
As context is acknowledged as an important factor that can affect users’ preferences, many researchers have worked on improving the quality of recommender systems by utilizing ...
Minsuk Kahng, Sangkeun Lee, Sang-goo Lee
ECIR
2008
Springer
13 years 8 months ago
Evaluating Paragraph Retrieval for
Abstract. We implemented a baseline approach to why-question answering based on paragraph retrieval. Our implementation incorporates the QAP ranking algorithm with addition of a nu...
Suzan Verberne, Lou Boves, Nelleke Oostdijk, Peter...