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» Learning user preferences for sets of objects
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IS
2010
13 years 4 months 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...
IDA
2007
Springer
13 years 7 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
ICDE
2010
IEEE
568views Database» more  ICDE 2010»
14 years 7 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...
GECCO
2007
Springer
190views Optimization» more  GECCO 2007»
14 years 1 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
ICASSP
2011
IEEE
12 years 11 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