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» Vote Elicitation with Probabilistic Preference Models: Empir...
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ALDT
2011
Springer
200views Algorithms» more  ALDT 2011»
12 years 4 months ago
Vote Elicitation with Probabilistic Preference Models: Empirical Estimation and Cost Tradeoffs
A variety of preference aggregation schemes and voting rules have been developed in social choice to support group decision making. However, the requirement that participants provi...
Tyler Lu, Craig Boutilier
CI
2004
116views more  CI 2004»
13 years 4 months ago
Solution Generation with Qualitative Models of Preferences
We consider automated decision aids that help users select the best solution from a large set of options. For such tools to successfully accomplish their task, eliciting and repre...
Boi Faltings, Marc Torrens, Pearl Pu
IUI
2009
ACM
14 years 1 months ago
A probabilistic mental model for estimating disruption
Adaptive software systems are intended to modify their appearance, performance or functionality to the needs and preferences of different users. A key bottleneck in building effec...
Bowen Hui, Grant Partridge, Craig Boutilier
ADBIS
1995
Springer
155views Database» more  ADBIS 1995»
13 years 8 months ago
The MaStA I/O Cost Model and its Validation Strategy
Crash recovery in database systems aims to provide an acceptable level of protection from failure at a given engineering cost. A large number of recovery mechanisms are known, and...
S. Scheuerl, Richard C. H. Connor, Ronald Morrison...
ICML
2007
IEEE
14 years 5 months ago
Cluster analysis of heterogeneous rank data
Cluster analysis of ranking data, which occurs in consumer questionnaires, voting forms or other inquiries of preferences, attempts to identify typical groups of rank choices. Emp...
Ludwig M. Busse, Peter Orbanz, Joachim M. Buhmann