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» Assumptions of Decision-Making Models in AGI
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EMO
2009
Springer
174views Optimization» more  EMO 2009»
13 years 11 months ago
Constraint Programming
To model combinatorial decision problems involving uncertainty and probability, we introduce stochastic constraint programming. Stochastic constraint programs contain both decision...
Pascal Van Hentenryck
INFOCOM
2012
IEEE
11 years 7 months ago
Truthful spectrum auction design for secondary networks
Abstract—Opportunistic wireless channel access by nonlicensed users has emerged as a promising solution for addressing the bandwidth scarcity challenge. Auctions represent a natu...
Yuefei Zhu, Baochun Li, Zongpeng Li
NC
2006
132views Neural Networks» more  NC 2006»
13 years 5 months ago
Learning short multivariate time series models through evolutionary and sparse matrix computation
Multivariate Time Series (MTS) data are widely available in different fields including medicine, finance, bioinformatics, science and engineering. Modelling MTS data accurately is...
Stephen Swift, Joost N. Kok, Xiaohui Liu
AVBPA
2005
Springer
228views Biometrics» more  AVBPA 2005»
13 years 10 months ago
Between-Source Modelling for Likelihood Ratio Computation in Forensic Biometric Recognition
Abstract. In this paper, the use of biometric systems in forensic applications is reviewed. Main differences between the aim of commercial biometric systems and forensic reporting...
Daniel Ramos-Castro, Joaquin Gonzalez-Rodriguez, C...
EGICE
2006
13 years 8 months ago
Combining Two Data Mining Methods for System Identification
System identification is an abductive task which is affected by several kinds of modeling assumptions and measurement errors. Therefore, instead of optimizing values of parameters ...
Sandro Saitta, Benny Raphael, Ian F. C. Smith