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RSKT
2009
Springer
16 years 7 days ago
Learning Optimal Parameters in Decision-Theoretic Rough Sets
A game-theoretic approach for learning optimal parameter values for probabilistic rough set regions is presented. The parameters can be used to define approximation regions in a p...
Joseph P. Herbert, Jingtao Yao
AMMA
2009
Springer
16 years 9 days ago
Turing Trade: A Hybrid of a Turing Test and a Prediction Market
Abstract. We present Turing Trade, a web-based game that is a hybrid of a Turing test and a prediction market. In this game, there is a mystery conversation partner, the “target,...
Joseph Farfel, Vincent Conitzer
COLT
2008
Springer
15 years 7 months ago
An Information Theoretic Framework for Multi-view Learning
In the multi-view learning paradigm, the input variable is partitioned into two different views X1 and X2 and there is a target variable Y of interest. The underlying assumption i...
Karthik Sridharan, Sham M. Kakade
PODC
2004
ACM
15 years 11 months ago
Completely fair SFE and coalition-safe cheap talk
Secure function evaluation (SFE) enables a group of players, by themselves, to evaluate a function on private inputs as securely as if a trusted third party had done it for them. ...
Matt Lepinski, Silvio Micali, Chris Peikert, Abhi ...
CDC
2009
IEEE
173views Control Systems» more  CDC 2009»
15 years 10 months ago
Sequentially updated Probability Collectives
— Multi-agent coordination problems can be cast as distributed optimization tasks. Probability Collectives (PCs) are techniques that deal with such problems in discrete and conti...
Michalis Smyrnakis, David S. Leslie