Random forests
Random forests estocástico
... do Random Forests, o qual chamamos de Random Forests ...O Random Forests Estocástico adiciona um novo método o qual implementa a classificação estocástica, servindo esta como ...
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Prediction of detailed enzyme functions and identification of specificity determining residues by random forests.
... Determining enzyme functions is essential for a thorough understanding of cellular processes. Although many prediction methods have been developed, it remains a significant challenge to predict enzyme functions at the ...
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Correction of approximation errors with Random Forests applied to modelling of cloud droplet formation
... Abstract. In atmospheric models, due to their computational time or resource limitations, physical processes have to be simulated using reduced (i.e. simplified) models. The use of a reduced model, however, induces ...
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Pedotransfer functions to estimate bulk density from soil properties and
... such as the Rio Doce basin in southeastern Brazil, is indirect estimation from less costly covari- ates using pedotransfer functions (PTF). This study primarily aims to develop region-specific PTFs for ρ b using multiple ...
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Sparse Modeling Reveals miRNA Signatures for Diagnostics of Inflammatory Bowel Disease.
... by random forests using the recurrent relative variable ...ized random forests as introduced by Deng and Runger ...of random forests as an independent classification ...
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Teamwork: improved eQTL mapping using combinations of machine learning methods.
... as Random Forests [11], the LASSO [14] or the Elastic Net [15] either choose a small subset of predictors or shrink some of their coefficients so that they drop out of the ...as Random Forests ...
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Variable importance and prediction methods for longitudinal problems with missing variables.
... (e.g., random forests), where the VIM for a variable X is defined as the difference between prediction error when X is perturbed versus the prediction error otherwise ...of random forest VIM ...
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BENCHMARK OF MACHINE LEARNING METHODS FOR CLASSIFICATION OF A SENTINEL-2 IMAGE
... - Random forests is a very well-performing algorithm which grows many classification ...the random forests method that makes it particularly interesting for digital image analysis are that it ...
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Performance monitoring and optimization of industrial processes [abstract]
... Particularly, random forests are a combination of tree predictors such that each tree depends on the values of a random vector sampled independently and with the same distribution for all trees in ...
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Ambient. constr. vol.17 número3
... model. Random forests had the best results based on the SI values for the heating load, while the multi-layer perceptron neural network model produced the best SI for cooling ...
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Effects of soil water table regime on tree community species richness and structure of alluvial forest fragments in Southeast Brazil
... Water saturation may lead to a decrease in soil air space and, subsequently, affect physico-chemical soil traits and gaseous exchanges of microorganisms and roots (Lobo and Joly, 2000). In these sites, only specialised ...
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Bird diversity in the Serra do Aracá region, northwestern Brazilian Amazon: preliminary check-list with considerations on biogeography and conservation
... canopy forests (campinaranas) and black water flooded forests (igapó ...montane forests and the open vegetation of Serra do Aracá were found between 400 and 1,200 m ...low-canopy forests. The ...
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Soil and leaf nutrient content of tree species support deciduous forests on limestone outcrops as a eutrophic ecosystem
... The leaf and soil nutrient status of plants has been used to infer structural and functional aspects at the ecosystem level. Such data are available for tropical and savanna systems growing on poor and acidic soils; ...
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BRANCA MARIA OPAZO MEDINA
... On the other hand, the temporary very humid conditions in rocky outcrops and sandy bogs contribute to a random distribution of groups of seed (Houle & Philips 1988, Chambers 1993, Yu et al. 2003), because ...
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Stakeholder analysis for coppice forestry in Bulgaria
... "Union of hunters and anglers in Bulgaria" is the biggest NGO directly influenced by the Bulgarian forests management politics. By the end of 2005, it represented the interests of 110 230 members with a ...
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Juliana STROPP1 , Peter VAN DER SLEEN2 , Paulo Apóstolo ASSUNÇÃO3 , Adeilson Lopes da SILVA4, Hans TER STEEGE5
... Amazonian forests challenge our understanding of how tree species abundance and composition varies across this ...terra-firme forests of the upper Rio Negro still remain poorly ...white-sand forests ...
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Diversity of Pentatomoidea (Hemiptera) in riparian forests of southern Brazil: taller forests, more bugs
... riparian forests of southern Brazil: taller forests, more ...Riparian forests are important features of any ecosystem, especially on grassland and savannah vegetation ...riparian forests in ...
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Traffic And Security Using Randomized Dispersive Routes In Heterogeneous Sensor Network
... dispersive random routes at low energy ...generating random routes, such as Wanderer scheme (a pure random-walk algorithm), only leads to long paths (containing many hops, and therefore, consuming ...
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Modelling home equity conversion loans with life insurance models
... is random, then the present value of the future payment of a unit of money is also random, and by ...the random variable Z. Random variable Z could be written as follows: ...
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Composition of bat assemblages (Mammalia: Chiroptera) in tropical riparian forests
... riparian forests to exercise their role as ecological corridors for greater dispersion of ...riparian forests are already degraded, the commitment to refor- estation and restoration is important and bats ...
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