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SEQUENTIAL S*-COMPACTNESS IN L-TOPOLOGICAL SPACES*
(Universidad Católica del Norte, Departamento de Matemáticas, 2005)
Prototype selection based on sequential search
(IOS Press, 2009)
Prototype selection based on sequential search
(IOS Press, 2009)
Sequential decision making with partially ordered preferences
(ELSEVIER SCIENCE BV, 2011)
This paper presents new insights and novel algorithms for strategy selection in sequential decision making with partially ordered preferences; that is, where some strategies may be incomparable with respect to expected ...
Asymptotic optimality of degree-greedy discovering of independent sets in Configuration Model graphs
(Elsevier Science, 2021-01)
Finding independent sets of maximum size in fixed graphs is well known to be an NP-hard task. Using scaling limits, we characterise the asymptotics of sequential degree-greedy explorations and provide sufficient conditions ...
Simulação sequencial de atributos diagnósticos do solo
(Univ Federal Campina Grande, 2015-05-01)
The sequential simulation generates a set of equiprobable images with the same spatial variability of the experimental values. The aim of this study was to determine the spatial dependence of the diagnostic attributes of ...
Computational aspects of nonparametric Bayesian analysis with applications to the modeling of multiple binary sequences
(AMER STATISTICAL ASSOC, 2000)
We consider Markov mixture models for multiple longitudinal binary sequences. Prior uncertainty in the mixing distribution is characterized by a Dirichlet process centered on a matrix beta measure. We use this setting to ...
Prototype Selection Methods
(Revista Computación y Sistemas; Vol. 13 No.4, 2010-04-16)
Abstract. In pattern recognition, supervised classifiers assign a class to unseen objects or prototypes. For classifying new prototypes a training set is used which provides information to the classifiers during the training ...
Probabilistic modeling of mineralized zones in Daralu copper deposit (SE Iran) using sequential indicator simulation
(Springer, 2015)
Deterministic modeling of the geological domains is often restricted to the uncertainty assessment. Using stochastic modeling can be considered as an effective solution in order to overcome this restriction. It can also ...