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» A First Approach to Birth Weight Prediction Using RBFNNs
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CIKM
2006
Springer
13 years 9 months ago
Voting for candidates: adapting data fusion techniques for an expert search task
In an expert search task, the users' need is to identify people who have relevant expertise to a topic of interest. An expert search system predicts and ranks the expertise o...
Craig Macdonald, Iadh Ounis
AI
2008
Springer
13 years 7 months ago
Label ranking by learning pairwise preferences
Preference learning is a challenging problem that involves the prediction of complex structures, such as weak or partial order relations, rather than single values. In the recent ...
Eyke Hüllermeier, Johannes Fürnkranz, We...
AI
2002
Springer
13 years 7 months ago
Ensembling neural networks: Many could be better than all
Neural network ensemble is a learning paradigm where many neural networks are jointly used to solve a problem. In this paper, the relationship between the ensemble and its compone...
Zhi-Hua Zhou, Jianxin Wu, Wei Tang
SERP
2003
13 years 8 months ago
A Vision for Product Traceability Based on Semantics of Artifacts
In the face of extensive attention form both the research community and the industry, traceability there still lacks of a supporting methodology that enables traceability througho...
Darijus Strasunskas
INFOCOM
2009
IEEE
14 years 2 months ago
Exact Analysis of Latency of Stateless Opportunistic Forwarding
Abstract—Stateless opportunistic forwarding is a simple faulttolerant distributed approach for data delivery and information querying in wireless ad hoc networks, where packets a...
Chi-Kin Chau, Prithwish Basu