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» Uncertainty in Bipolar Preference Problems
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SIGGRAPH
2000
ACM
13 years 11 months ago
Sampling plausible solutions to multi-body constraint problems
Traditional collision intensive multi-body simulations are difficult to control due to extreme sensitivity to initial conditions or model parameters. Furthermore, there may be mu...
Stephen Chenney, David A. Forsyth
AI
2006
Springer
13 years 7 months ago
Constraint-based optimization and utility elicitation using the minimax decision criterion
In many situations, a set of hard constraints encodes the feasible configurations of some system or product over which multiple users have distinct preferences. However, making su...
Craig Boutilier, Relu Patrascu, Pascal Poupart, Da...
CDC
2010
IEEE
106views Control Systems» more  CDC 2010»
13 years 2 months ago
Observational learning in an uncertain world
We study a model of observational learning in social networks in the presence of uncertainty about agents' type distributions. Each individual receives a private noisy signal ...
Daron Acemoglu, Munther A. Dahleh, Asuman E. Ozdag...
AAAI
2012
11 years 9 months ago
Transfer Learning in Collaborative Filtering with Uncertain Ratings
To solve the sparsity problem in collaborative filtering, researchers have introduced transfer learning as a viable approach to make use of auxiliary data. Most previous transfer...
Weike Pan, Evan Wei Xiang, Qiang Yang
ECSQARU
2007
Springer
14 years 1 months ago
On Decision Support Under Risk by the WOWA Optimization
Abstract. The problem of averaging outcomes under several scenarios to form overall objective functions is of considerable importance in decision support under uncertainty. The fuz...
Wlodzimierz Ogryczak, Tomasz Sliwinski