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ICML
2006
IEEE
14 years 8 months ago
Learning algorithms for online principal-agent problems (and selling goods online)
In a principal-agent problem, a principal seeks to motivate an agent to take a certain action beneficial to the principal, while spending as little as possible on the reward. This...
Vincent Conitzer, Nikesh Garera
EAAI
2008
75views more  EAAI 2008»
13 years 7 months ago
Enacting agent-based services for automated procurement
Negotiation events in industrial procurement involving multiple, highly customisable goods pose serious challenges to buying agents when trying to determine the best set of provid...
Andrea Giovannucci, Juan A. Rodríguez-Aguil...
ATAL
2004
Springer
14 years 23 days ago
Towards Automated Procurement via Agent-Aware Negotiation Support
Negotiation events in industrial procurement involving multiple, highly customisable goods pose serious challenges to buying agents when trying to determine the best set of provid...
Andrea Giovannucci, Juan A. Rodríguez-Aguil...
GECCO
2004
Springer
166views Optimization» more  GECCO 2004»
14 years 23 days ago
Evolutionary Ensemble for Stock Prediction
We propose a genetic ensemble of recurrent neural networks for stock prediction model. The genetic algorithm tunes neural networks in a two-dimensional and parallel framework. The ...
Yung-Keun Kwon, Byung Ro Moon
WINE
2009
Springer
173views Economy» more  WINE 2009»
13 years 12 months ago
Ad Exchanges: Research Issues
Abstract. An emerging way to sell and buy display ads on the Internet is via ad exchanges. RightMedia [1], AdECN [2] and DoubleClick Ad Exchange [3] are examples of such real-time ...
S. Muthukrishnan