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» Learning user preferences for sets of objects
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137
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IS
2010
15 years 27 days ago
Multicriteria reinforcement learning based on a Russian doll method for network routing
The routing in communication networks is typically a multicriteria decision making (MCDM) problem. However, setting the parameters of most used MCDM methods to fit the preferences ...
Alain Pétrowski, Farouk Aissanou, Ilham Ben...
137
Voted
IDA
2007
Springer
15 years 3 months ago
An evaluation of Naive Bayes variants in content-based learning for spam filtering
We describe an in-depth analysis of spam-filtering performance of a simple Naive Bayes learner and two extended variants. A set of seven mailboxes comprising about 65,000 mails f...
Alexander K. Seewald
127
Voted
ICDE
2010
IEEE
568views Database» more  ICDE 2010»
16 years 3 months ago
Reverse Top-k Queries
Rank-aware query processing has become essential for many applications that return to the user only the top-k objects based on the individual user's preferences. Top-k queries...
Akrivi Vlachou, Christos Doulkeridis, Kjetil N&osl...
155
Voted
GECCO
2007
Springer
190views Optimization» more  GECCO 2007»
15 years 9 months ago
Interactive evolutionary multi-objective optimization and decision-making using reference direction method
In this paper, we borrow the concept of reference direction approach from the multi-criterion decision-making literature and combine it with an EMO procedure to develop an algorit...
Kalyanmoy Deb, Abhishek Kumar
147
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ICASSP
2011
IEEE
14 years 7 months ago
Topic-sensitive interactive image object retrieval with noise-proof relevance feedback
One current direction to enhance the search accuracy in visual object retrieval is to reformulate the original query through (pseudo-)relevance feedback, which augments a query wi...
Jen-Hao Hsiao, Henry Chang