Selection methods
A comparison of four data selection methods for artificial neural networks and support vector machines
... data selection methods, including Random Data Selection (RDS), Convex Hull Based Data Selection (CBDS), Entropy Based Data Selection (EBDS) and a Hybrid Data Selection (HDS) ...
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GENETIC GAIN FROM DIFFERENT SELECTION METHODS IN Eucalyptus
... The selection of the progenies for establishing a Clonal Seed Orchard was based on the analysis by location, joint analysis and on the harmonic mean of the relative performance of genotypic values (HMRPGV) with ...
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A broad set of different llama antibodies specific for a 16 kDa heat shock protein of Mycobacterium tuberculosis.
... display selection methods were used, one by depletion of the library from non-tuberculosis lysates, and another by using a partially purified protein ...both selection methods, suggesting that ...
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Assessment of swim-up and discontinuous density gradient in sperm sex preselection for bovine embryo production
... sex selection methods with the purpose of preserving sperm viability have been developed such as the swim-up (Madrid-Burry et al ...2007). Selection by Percoll™ discontinuous gradient enhances sperm ...
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Statistical power of model selection strategies for genome-wide association studies.
... model selection methods have been proposed in the literature, including marginal search, exhaustive search, and forward search, their relative performance has only been evaluated through limited simulations ...
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Higher order feature extraction and selection for robust human gesture recognition using CSI of COTS Wi-Fi devices
... feature selection methods derived from information theory construct a robust and highly mutually informative feature subset as input to multilevel SVM classifier with Gaussian RBF kernel to measure the ...
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A decision-tree-based model for evaluating the thermal comfort of horses
... feature selection methods used to reduce computational cost and simplify predictive learning decreased model accuracy to 70 %; however, the model became simpler with easily interpretable ...these ...
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A Comparison of Neighbourhood Selection Techniques in Spatio-Temporal Forecasting Models
... Figure 3 shows the CCF between each link and its 100 nearest neighbours, ranked by network distance from midpoint to midpoint. A general distance decay relationship can be observed, although the decay is not linear. This ...
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ASYMMETRIC PRICE TRANSMISSION MODELING: THE IMPORTANCE OF MODEL COMPLEXITY AND THE PERFORMANCE OF THE SELECTION CRITERIA
... model selection criteria, trends holding across the different criteria were evident in the simulation ...model selection methods to select the true model ...the selection criteria that account ...
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Feature Selection using Complementary Particle Swarm Optimization for DNA Microarray Data
... Feature selection was an important dimensionality reduction technique in DNA ...the selection methods difficult to search the significant features in DNA ...feature selection problem, and was ...
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A comparison of statistical methods for genomic selection in a mice population
... variable selection methods would be ...statistical methods are still appealing in genomic selection, while further develop- ments in terms of computational efficiency will be required to deal ...
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Document features selection using background knowledge and word clustering technique
... some methods to reduce the data size and to increase the classification ...feature selection methods are used (Guyon & Elisseff, ...several methods for selecting features such as gain ...
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2015 10 02 Vf6 PhD Tese Pedro Mendes Moreira 2nd edition
... both selection methods used in VASO project suggest mass selection as better than S2 recurrent selection due to the following reasons: (A) Mass selection: had a slight increase in ...
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MATERIAL AND METHODS Seed origin and selection
... In the present work the objective was to evaluate the effect of Fusarium verticillioides on maize seed quality by using the osmo-priming technique which is the only mean to [r] ...
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PSSP-RFE: accurate prediction of protein structural class by recursive feature extraction from PSI-BLAST profile, physical-chemical property and functional annotations.
... With a limited number of training examples, a small amount of features often result in a better generalization of machine learning algorithms (Occam’s razor) [13]. Meanwhile, the increased dimensions of the feature ...
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Biometrical analysis and selection of tetraploid progenies of Panicum maximum using mixed model methods
... a selection of crosses in each generation is proposed with the objective of increasing the number of individuals in the progeny of the progenitors with best specific combining ability and thus increasing the ...
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Mining method selection by integrated AHP and PROMETHEE method
... existing methods are as follows: the PROMETHEE method takes into account the preference function of each criterion, which is determined by the decision-makers; each criterion is evaluated on a different basis, and ...
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Application of Fisher Score and mRMR Techniques for Feature Selection in Compressed Medical Images
... feature selection techniques by combining the filter’s feature ranking score in the wrapper ...subset selection algorithm based on Particle Swarm Optimization (PSO) for support vector machine (SVM) ...bit ...
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GENETICS AND PLANT BREEDING
... breeding methods adopted for selecting segregating populations, as well as on the effective exploration of genetic variability released over generations and how much of this phenotypic variability is due to ...
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Cad. Saúde Pública vol.31 número5
... a selection algorithm was designed to ensure the selection of precisely three combina- tions of shift and grade per school, so that the size of the sample per shift and, whenever pos- sible, per grade was ...
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