Results 221 to 230 of about 2,165,044 (267)

Selective scene modeling [PDF]

open access: possible[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition, 2003
Proposes an efficient architecture for selective image modeling. The authors give an example in which models of different scale are reconstructed in parallel. It is shown that this redundant representation can effectively be pruned using the criterion of minimum description length.
Solina, Franc, Leonardis, Aleš
openaire   +1 more source

Lorenz Model Selection

Journal of Classification, 2020
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Paolo Giudici, Emanuela Raffinetti
openaire   +2 more sources

Model Selection and Model Averaging [PDF]

open access: possible, 2015
info:eu-repo/semantics ...
Claeskens, Gerda, Jansen, Maarten
openaire   +1 more source

Model Selection For Geostatistical Models

Ecological Applications, 2006
We consider the problem of model selection for geospatial data. Spatial correlation is often ignored in the selection of explanatory variables, and this can influence model selection results. For example, the importance of particular explanatory variables may not be apparent when spatial correlation is ignored.
Jennifer A, Hoeting   +3 more
openaire   +2 more sources

In favor of the selective model of positive selection

Seminars in Immunology, 1994
The mechanisms of thymocyte commitment towards the CD4+ and CD8+ lineage remain unresolved. Two models--one based on instruction, the other on selection--have previously been proposed. The instructional model has been popularly received based on results of earlier studies.
Chan, Susan   +2 more
openaire   +3 more sources

Attribute selection for modelling

Future Generation Computer Systems, 1997
Abstract Modelling a target attribute by other attributes in the data is perhaps the most traditional data mining task. When there are many attributes in the data, one needs to know which of the attribute(s) are relevant for modelling the target, either as a group or the one feature that is most appropriate to select within the model construction ...
Igor Kononenko 0001, Se June Hong
openaire   +1 more source

Model Validation for Model Selection

2001
Gaussian mixture modelling is used to provide a semi-parametric density description for a given data set. The fundamental problem with this approach is that the number of mixtures required to adequately describe the data is not known in advance. In our previous work [12] we introduced a new concept, termed Predictive Validation as a basis for an ...
Josef Kittler   +2 more
openaire   +1 more source

Continuous selective models

Theoretical Population Biology, 1974
Abstract Neglecting age-structure, but taking into account matings with differential fertility in Mendelian reproduction, continuous selective models are formulated for a single locus with an arbitrary number of alleles, with or without distinguishing the sexes, and for two alleles at each of two loci in a monoecious population. In each case, without
Nagylaki, Thomas, Crow, James F.
openaire   +2 more sources

Additive model selection

Statistical Methods & Applications, 2016
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Umberto Amato   +2 more
openaire   +4 more sources

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