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» Model Uncertainty in Classical Conditioning
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EAAI
2007
90views more  EAAI 2007»
13 years 8 months ago
AI techniques in modelling, assignment, problem solving and optimization
This paper recapitulates the results of a long research on a family of artificial intelligence (AI) methods—relying on, e.g., artificial neural networks and search techniques...
Zsolt János Viharos, Zsolt Kemény
ICONIP
2009
13 years 5 months ago
Learning Gaussian Process Models from Uncertain Data
It is generally assumed in the traditional formulation of supervised learning that only the outputs data are uncertain. However, this assumption might be too strong for some learni...
Patrick Dallaire, Camille Besse, Brahim Chaib-draa
EUSFLAT
2003
206views Fuzzy Logic» more  EUSFLAT 2003»
13 years 9 months ago
Analysis of multi-product break-even with uncertain information
We revise the classic methodology to find the multi-product break-even point. In the current paper we propose a solution to the problem under uncertainty conditions, based on Dur...
Luisa L. Lazzari, María Silvia Moriñ...
MP
2006
100views more  MP 2006»
13 years 8 months ago
A branch-and-cut algorithm for the stochastic uncapacitated lot-sizing problem
This paper addresses a multi-stage stochastic integer programming formulation of the uncapacitated lot-sizing problem under uncertainty. We show that the classical ( , S) inequalit...
Yongpei Guan, Shabbir Ahmed, George L. Nemhauser, ...
AUTOMATICA
2007
90views more  AUTOMATICA 2007»
13 years 8 months ago
Global adaptive output regulation of a class of nonlinear systems with nonlinear exosystems
This paper deals with global output regulation with nonlinear exosystems for a class of uncertain nonlinear output feedback systems. The circle criterion is exploited for the inte...
Zairong Xi, Zhengtao Ding