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ESAW
2004
Springer
15 years 12 months ago
Techniques for Analysis and Calibration of Multi-agent Simulations
In this paper we present analysis and calibration techniques that exploit knowledge about a multi agent society in order to calibrate the system parameters of a corresponding socie...
Manuel Fehler, Franziska Klügl, Frank Puppe
IJCNN
2000
IEEE
15 years 11 months ago
Regression Analysis for Rival Penalized Competitive Learning Binary Tree
The main aim of this paper is to develop a suitable regression analysis model for describing the relationship between the index efficiency and the parameters of the Rival Penaliz...
Xuequn Li, Irwin King
APN
2006
Springer
15 years 8 months ago
From Petri Nets to Differential Equations - An Integrative Approach for Biochemical Network Analysis
Abstract. We report on the results of an investigation into the integration of Petri nets and ordinary differential equations (ODEs) for the modelling and analysis of biochemical n...
David Gilbert, Monika Heiner
CSL
2012
Springer
14 years 2 months ago
Reinforcement learning for parameter estimation in statistical spoken dialogue systems
Reinforcement techniques have been successfully used to maximise the expected cumulative reward of statistical dialogue systems. Typically, reinforcement learning is used to estim...
Filip Jurcícek, Blaise Thomson, Steve Young
WWW
2008
ACM
16 years 7 months ago
Externalities in online advertising
Most models for online advertising assume that an advertiser's value from winning an ad auction, which depends on the clickthrough rate or conversion rate of the advertisemen...
Arpita Ghosh, Mohammad Mahdian