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» Constructive Interval Disjunction
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119
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NN
2006
Springer
163views Neural Networks» more  NN 2006»
15 years 1 months ago
Machine learning approaches for estimation of prediction interval for the model output
A novel method for estimating prediction uncertainty using machine learning techniques is presented. Uncertainty is expressed in the form of the two quantiles (constituting the pr...
Durga L. Shrestha, Dimitri P. Solomatine
CSDA
2011
14 years 8 months ago
Improved interval estimation of long run response from a dynamic linear model: A highest density region approach
This paper proposes a new method of interval estimation for the long run response (or elasticity) parameter from a general linear dynamic model. We employ the biascorrected bootst...
Jae H. Kim, Iain Fraser, Rob J. Hyndman
100
Voted
VMCAI
2004
Springer
15 years 7 months ago
Widening Operators for Powerset Domains
Abstract. The finite powerset construction upgrades an abstract domain by allowing for the representation of finite disjunctions of its elements. In this paper we define three g...
Roberto Bagnara, Patricia M. Hill, Enea Zaffanella
IJCAI
2007
15 years 3 months ago
A New Perspective on Stable Models
The definition of a stable model has provided a declarative semantics for Prolog programs with negation as failure and has led to the development of answer set programming. In th...
Paolo Ferraris, Joohyung Lee, Vladimir Lifschitz
129
Voted
PRL
2006
139views more  PRL 2006»
15 years 1 months ago
Adaptive Hausdorff distances and dynamic clustering of symbolic interval data
This paper presents a partitional dynamic clustering method for interval data based on adaptive Hausdorff distances. Dynamic clustering algorithms are iterative two-step relocatio...
Francisco de A. T. de Carvalho, Renata M. C. R. de...