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» Desirable Characteristics of Learning Companions
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FSKD
2007
Springer
98views Fuzzy Logic» more  FSKD 2007»
14 years 1 months ago
Learning Selective Averaged One-Dependence Estimators for Probability Estimation
Naïve Bayes is a well-known effective and efficient classification algorithm, but its probability estimation performance is poor. Averaged One-Dependence Estimators, simply AODE,...
Qing Wang, Chuan-hua Zhou, Jiankui Guo
GECCO
2005
Springer
160views Optimization» more  GECCO 2005»
14 years 27 days ago
Exploring relationships between genotype and oral cancer development through XCS
In medical research, being able to justify decisions is generally as important as taking the right ones. Interpretability is then one of the chief characteristics a learning algor...
Alessandro Passaro, Flavio Baronti, Valentina Magg...
WPES
2004
ACM
14 years 24 days ago
Hidden access control policies with hidden credentials
In an open environment such as the Internet, the decision to collaborate with a stranger (e.g., by granting access to a resource) is often based on the characteristics (rather tha...
Keith B. Frikken, Mikhail J. Atallah, Jiangtao Li
ESWS
2008
Springer
13 years 9 months ago
Why URI Declarations? A Comparison of Architectural Approaches
When a Semantic Web application encounters a new URI in an RDF statement, how should it determine what resource that URI is intended to denote, and learn more about it? Since asser...
David Booth
ESWS
2008
Springer
13 years 9 months ago
Conceptual Situation Spaces for Semantic Situation-Driven Processes
Context-awareness is a highly desired feature across several application domains. Semantic Web Services (SWS) technologies address context-adaptation by enabling the automatic disc...
Stefan Dietze, Alessio Gugliotta, John Domingue