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» Representing and Reasoning with Preferences
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IRAL
2003
ACM
15 years 2 months ago
Extraction of user preferences from a few positive documents
In this work, we propose a new method for extracting user preferences from a few documents that might interest users. For this end, we first extract candidate terms and choose a n...
Byeong Man Kim, Qing Li, Jong-Wan Kim
ECSQARU
2005
Springer
15 years 3 months ago
Possibility Theory for Reasoning About Uncertain Soft Constraints
Abstract. Preferences and uncertainty occur in many real-life problems. The theory of possibility is one non-probabilistic way of dealing with uncertainty, which allows for easy in...
Maria Silvia Pini, Francesca Rossi, Kristen Brent ...
INFFUS
2006
137views more  INFFUS 2006»
14 years 9 months ago
Bipolar possibility theory in preference modeling: Representation, fusion and optimal solutions
The bipolar view in preference modeling distinguishes between negative and positive preferences. Negative preferences correspond to what is rejected, considered unacceptable, whil...
Salem Benferhat, Didier Dubois, Souhila Kaci, Henr...
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ICPR
2006
IEEE
15 years 10 months ago
Scalable Representative Instance Selection and Ranking
Finding a small set of representative instances for large datasets can bring various benefits to data mining practitioners so they can (1) build a learner superior to the one cons...
Xindong Wu, Xingquan Zhu
AAAI
1994
14 years 11 months ago
Representing Multiple Theories
Most Artificial Intelligence programs lack generality because they reason with a single domain theory that is tailored for a specific task and embodies a host of implicit assumpti...
P. Pandurang Nayak