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AAAI
2004
15 years 1 months ago
mCP Nets: Representing and Reasoning with Preferences of Multiple Agents
We introduce mCP nets, an extension of the CP net formalism to model and handle the qualitative and conditional preferences of multiple agents. We give a number of different seman...
Francesca Rossi, Kristen Brent Venable, Toby Walsh
AI
2004
Springer
14 years 11 months ago
On the revision of preferences and rational inference processes
Orderings and inference relations can be successfully used to model the behavior of a rational agent. This behavior is indeed represented either by a set of ordered pairs that ref...
Michael Freund
ICDM
2010
IEEE
122views Data Mining» more  ICDM 2010»
14 years 9 months ago
Learning Preferences with Millions of Parameters by Enforcing Sparsity
We study the retrieval task that ranks a set of objects for a given query in the pairwise preference learning framework. Recently researchers found out that raw features (e.g. word...
Xi Chen, Bing Bai, Yanjun Qi, Qihang Lin, Jaime G....
ICML
2005
IEEE
16 years 19 days ago
Preference learning with Gaussian processes
In this paper, we propose a probabilistic kernel approach to preference learning based on Gaussian processes. A new likelihood function is proposed to capture the preference relat...
Wei Chu, Zoubin Ghahramani
JANCL
2007
95views more  JANCL 2007»
14 years 11 months ago
Dynamic logic of preference upgrade
ABSTRACT. Statements not only update our current knowledge, but also have other dynamic effects. In particular, suggestions or commands ‘upgrade’ our preferences by changing th...
Johan van Benthem, Fenrong Liu