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[PDF] Top 20 Classification and combining models

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Classification and combining models

Classification and combining models

... of combining models currently appears in an increasing number of ...robust and stable models. Sousa Ferreira (2000) proposes combining FMM and FOIM to address ... See full document

8

Designing integrated biorefineries supply chain: combining stochastic programming models with scenario reduction methods

Designing integrated biorefineries supply chain: combining stochastic programming models with scenario reduction methods

... The deterministic model is converted into a stochastic MILP to capture the uncertainty on the biomass availability and the conversion factors from biomass into products at biorefineries. This is modelled using a ... See full document

6

Combining Logistic Models with Multivariate Methods for the Rapid Biological Assessment of Rivers Using Macroinvertebrates

Combining Logistic Models with Multivariate Methods for the Rapid Biological Assessment of Rivers Using Macroinvertebrates

... 1 and will be detailed in the following para- ...size, and the other included only the Douro ...(Peeters and Gardeniers, 1998) or fish species (Oberdorff et ... See full document

21

Predicting outcome on admission and post-admission for acetaminophen-induced acute liver failure using classification and regression tree models.

Predicting outcome on admission and post-admission for acetaminophen-induced acute liver failure using classification and regression tree models.

... prognostic models were constructed using hospital admission ...prognosis models by Bernal [14] and Schmidt [13] considered lactate and MELD respectively, which were also selected for inclusion ... See full document

16

Creating classification models from textual descriptions of companies using crunchbase

Creating classification models from textual descriptions of companies using crunchbase

... categories, and the proposed models predict the set of associated categories based solely on the company textual ...binary models, one for each one of the categories, where the set of categories for ... See full document

13

The use of genetic programming for detecting the incorrect predictions of classification models

The use of genetic programming for detecting the incorrect predictions of classification models

... learning models as tools or they are integrating them within other products, their main concern is the trust in a ...it and its development is not ...itself and each prediction it ...data and ... See full document

67

Robotic locomotion combining central pattern generators and reflexes

Robotic locomotion combining central pattern generators and reflexes

... reflex and a tonic reflex can be important to improve the robot behavior in holes and roll ramps, ...modulation and gait ...hybrid models through the implementation of an optimization system ... See full document

135

Forecasting time series combining Holt-Winters and bootstrap approaches

Forecasting time series combining Holt-Winters and bootstrap approaches

... Km and its average flow at the mouth is 40 ...(GOL), and Vizela Santo Adrião (VSA) (see ...approach and the combining Holt-Winters and Bootstrap methodology (HW-Boot), here will only be ... See full document

5

Combinando o método TOPSIS e a classificação ABC de estoques: uma aplicação em uma empresa comercial de autopeças / Combining TOPSIS method and ABC inventory classification: application in an auto parts company

Combinando o método TOPSIS e a classificação ABC de estoques: uma aplicação em uma empresa comercial de autopeças / Combining TOPSIS method and ABC inventory classification: application in an auto parts company

... price and delivery ...ABC classification, which subdivides the items according to their relative ...inventory classification model that combines ABC classification with a multicriteria ... See full document

15

Age and gender classification: a proposed system

Age and gender classification: a proposed system

... tasks, and this new model is their first using Deep Learning in order to detect ...tests, and results reached ...prediction, and a set of coordinates for the extracted face, which can be used to crop ... See full document

69

Classification and Scoring of Protein Complexes

Classification and Scoring of Protein Complexes

... high, and the opposite if such is not the ...predict, and less to the ones pre- dicted ...times, and the final prediction is made according to each tree ...new models to the residuals of the ... See full document

82

Automated protein subfamily identification and classification.

Automated protein subfamily identification and classification.

... specificity and sensitivity. High purity and low edit and VI distances for a method indicate that the subfamily decomposition achieved by that method is very similar to the reference ...in ... See full document

13

Combining damage and fracture mechanics to model calving

Combining damage and fracture mechanics to model calving

... element models (Bassis and Jacobs, 2013; Åström et ...processes and iceberg size distribution. However, coupling such models with finite-difference or finite-element glacier or ice-sheet ... See full document

17

Combining different functions to describe milk, fat and protein yield in goats using bayesian multiple- trait random regression models

Combining different functions to describe milk, fat and protein yield in goats using bayesian multiple- trait random regression models

... regression models, compared the quality of the fit of the additive genetic and permanent environmental effects modeled by Wilmink function, Ali and Schaeffer function, cubic B-spline and ... See full document

63

An original approach combining CFD, linearized models, and deformation of trees for urban wind power assessment

An original approach combining CFD, linearized models, and deformation of trees for urban wind power assessment

... importance, and some were excluded in this research: one (number 8 in the inventory) presents a deformity caused by the proximity of the buildings, representing more turbulence than the mean wind speed, and ... See full document

24

Combining models in discrete discriminant analysis

Combining models in discrete discriminant analysis

... FMM and FOIM, using a single coefficient β, (0 ≤ β ≤ 1) to define a linear combination and explores several strategies to estimate this coefficient, including a regression approach using least squares ... See full document

22

Combining multispecies home range and distribution models aids assessment of MPA effectiveness

Combining multispecies home range and distribution models aids assessment of MPA effectiveness

... sole and white seabream occurred for up to 290 d, whereas detections of cuttlefish only oc - curred during the months of November and Decem- ...sole and 176 499 for white ...the models had a ... See full document

15

Prognostic models for Inflammatory Bowel Disease: evidence, classification and prediction

Prognostic models for Inflammatory Bowel Disease: evidence, classification and prediction

... 1975 and 1988 [Tavarela Veloso, ...(Porto and Braga) and the other in the south (Lisboa and ...1.7 and 5.5 patients / 100000 inhabitant-years, for south and north, respectively ... See full document

169

Combining Models in Discrete Discriminant Analysis

Combining Models in Discrete Discriminant Analysis

... (Re and Valentini, 2011) - with the performance of Ran- dom Forests (Breiman, 2001) - a generative ensemble (according to the same authors), that generates sets of base learners acting on the structure of the data ... See full document

21

Combining spatial models for shallow landslides and debris-flows prediction

Combining spatial models for shallow landslides and debris-flows prediction

... scars and density of shallow landslides (number of landslides per unit area) should be much more common in the least stable ...site and therefore controls the site ... See full document

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