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» Fuzzy Ranking Model Based on User Preference
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IJCNN
2007
IEEE
14 years 3 months ago
Preference Learning for Category-Ranking based Interactive Text Categorization
— Category Ranking is a variant of the multi-label classification problem, in which, rather than performing a (hard) assignment to an object of categories from a predefined set...
Fabio Aiolli, Fabrizio Sebastiani, Alessandro Sper...
IVC
2007
94views more  IVC 2007»
13 years 9 months ago
Vector quantization and fuzzy ranks for image reconstruction
The problem of clustering is often addressed with techniques based on a Voronoi partition of the data space. Vector quantization is based on a similar principle, but it is a diffe...
Stefano Rovetta, Francesco Masulli
CP
2008
Springer
13 years 11 months ago
Elicitation Strategies for Fuzzy Constraint Problems with Missing Preferences: Algorithms and Experimental Studies
Fuzzy constraints are a popular approach to handle preferences and over-constrained problems in scenarios where one needs to be cautious, such as in medical or space applications. ...
Mirco Gelain, Maria Silvia Pini, Francesca Rossi, ...
AWIC
2003
Springer
14 years 2 months ago
A Machine Learning Based Evaluation of a Negotiation between Agents Involving Fuzzy Counter-Offers
Abstract. Negotiation plays a fundamental role in systems composed of multiple autonomous agents. Some negotiations may require a more elaborated dialogue where agents would explai...
Javier Carbo Rubiera, Agapito Ledezma
ICML
1998
IEEE
14 years 10 months ago
An Efficient Boosting Algorithm for Combining Preferences
We study the problem of learning to accurately rank a set of objects by combining a given collection of ranking or preference functions. This problem of combining preferences aris...
Yoav Freund, Raj D. Iyer, Robert E. Schapire, Yora...