3694 search results - page 227 / 739 » Stochastic complexity in learning |
146
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AUTOMATICA
2006
15 years 6 months ago
2006
A novel method for the robust identification of interpretable fuzzy models, based on the criterion that identification errors are least sensitive to data uncertainties and modelli...
127
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CORR
2006
Springer
15 years 6 months ago
2006
Springer
Competitive on-line prediction (also known as universal prediction of individual sequences) is a strand of learning theory avoiding making any stochastic assumptions about the way...
152
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IJUFKS
2007
15 years 5 months ago
2007
Media theory is a new branch of discrete applied mathematics originally developed in mid-nineties to deal with stochastic evolution of preference relations in political science an...
161
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CORR
2002
Springer
15 years 5 months ago
2002
Springer
Mutual information is widely used in artificial intelligence, in a descriptive way, to measure the stochastic dependence of discrete random variables. In order to address question...
151
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PE
2000
Springer
15 years 5 months ago
2000
Springer
Stochastic process algebras have been proposed as compositional specification formalisms for performance models. In this paper, we describe a tool which aims at realising all bene...