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DALT
2009
Springer
14 years 1 months ago
Computing Utility from Weighted Description Logic Preference Formulas
We propose a framework to compute the utility of a proposal w.r.t. a preference set in a negotiation process. In particular, we refer to preferences expressed as weighted formulas ...
Azzurra Ragone, Tommaso Di Noia, Francesco M. Doni...
ECAI
2010
Springer
13 years 11 months ago
Kernel Methods for Revealed Preference Analysis
In classical revealed preference analysis we are given a sequence of linear prices (i.e., additive over goods) and an agent's demand at each of the prices. The problem is to d...
Sébastien Lahaie
ICCD
1999
IEEE
130views Hardware» more  ICCD 1999»
14 years 2 months ago
Preference-Driven Hierarchical Hardware/Software Partitioning
In this paper, we present a hierarchical evolutionary approach to hardware/software partitioning for real-time embedded systems. In contrast to most of previous approaches, we app...
Gang Quan, Xiaobo Hu, Garrison W. Greenwood
NIPS
2007
13 years 11 months ago
Active Preference Learning with Discrete Choice Data
We propose an active learning algorithm that learns a continuous valuation model from discrete preferences. The algorithm automatically decides what items are best presented to an...
Eric Brochu, Nando de Freitas, Abhijeet Ghosh
DAGSTUHL
2004
13 years 11 months ago
Adaptive Rich Media Presentations via Preference-Based Constrained Optimization
Personalization and adaptation of multi-media messages are well known and well studied problems. Ideally, each message should reflect its recipient's interests, device capabi...
Ronen I. Brafman, Doron A. Friedman