Variable selection
Nearinfrared spectroscopy and variable selection techniques to discriminate Pseudomonas aeruginosa strains in clinical samples
... performing variable subset selection and ...ing variable selection for LDA), whereas the prediction set was only used in the final evaluation of the ...
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Aplication of genetic algorithms in the variable selection in mid infrared spectroscopy: simultaneous determination of glucose, maltose and fructose.
... THE VARIABLE SELECTION IN MID INFRARED ...for variable selection in simultaneous determination of mixtures of glucose, maltose and fructose by mid infrared ...with variable ...
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Knowledge-based variable selection for learning rules from proteomic data
... The journal publishes original peer-reviewed research articles in all aspects of computational methods used in the analysis and annotation of sequences and structures, as well as all oth[r] ...
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Variable selection in QSAR.
... Além de não ser sensível às colinearidades entre os descritores, PLS oferece outras vantagens sobre a RLM: (a) a razão entre o número de descritores e o número de compostos não é limitad[r] ...
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Resear ch Ar ticle
... a variable selection proce- dure was used to remove variables with low correla- tion values with respect to the target ...for variable selection were evaluated: (i) No variable ...
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Pesqui. Oper. vol.35 número2
... variables selection in the Cox model were proposed to address the problem of selecting the profile of in debt clients of a Brazilian Telephone ...for variable selection, such as stepwise, BIC and ...
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An Approach with Support Vector Machine using Variable Features Selection on Breast Cancer Prognosis
... of variable selection on input feature vectors and the performance measurement through bio-learning class performance while measuring AUC, specificity and ...
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LUÍS MANUEL TREMOCEIRO BAPTISTA
... Learning general constraints, proposed in (Veksler and Strichman, 2015, 2016), is a stronger form of learning which, instead of learning generalized nogoods, learns constraints. This new learning scheme is inspired on ...
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Rev. Bras. Econ. vol.70 número4
... the variable selection criterion discussed in section ...dummy variable D2009 to capture (if needed) the effects of the international crisis in 2008– ...
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Development of web-based tools for spectral data analysis and mining
... feature selection approaches: filters, wrappers and embedded ...own variable selection process and performs feature selection and classification simultaneously (Kumar and Minz, 2014 ...
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Classificação de alfaces e barras de cereais a partir da espectroscopia NIR e análise discriminante linear
... This work proposes an analytical method for cereal bar classification based on the use of near infrared spec- troscopy (NIRS) and supervised pattern recognition techniques. Linear discriminant analysis (LDA) is employed ...
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ANALYSIS OF BAYESIAN CLASSIFIER ACCURACY
... process variable selection, using the chi-squared test to verify the existence of dependence between variables in the data model in order to identify the reasons which prevent a Bayesian network to provide ...
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J. Braz. Chem. Soc. vol.26 número9
... forward selection (SFS) is another method used for variable selection, which selects a subset of variables that have the best result in the generation of a regression or classification ...single ...
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Biopharmaceutical industry-sponsored global clinical trials in emerging countries
... The variable selection used in the multiple logistic regression model built to analyze correlation of trial features with trial place- ment in Brazil, discarded all trial features except the following: four ...
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Influence of Pattern of Missing Data on Performance of Imputation Methods: An Example from National Data on Drug Injection in Prisons
... (BE) variable selection was fitted to identify variables which influenced the outcome (drug ...each variable is related to other independent variables ...single variable which was ...
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Efficiency determinants in Portuguese banking industry: an application through fractional regression models
... dependent variable, according to the models for proportions proposed by Ramalho et ...of variable selection was applied: from the non-restricted model (composed by all variables) order the variables ...
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Genital evolution: why are females still understudied?
... However, males, their characteristics, and behavior have often been the first object of investigation in the field, later followed by questions about females and their charac- teristics. For example, sperm competition ...
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Embeddings of variable Hajlasz-Sobolev spaces into holder spaces of variable order
... The case when the exponent is greater than the dimension of the Euclidean space R n was less studied. The first attempt to get Sobolev embeddings into Hölder classes of variable order was done in [10]. Later a ...
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Hybrid Architecture of Genetic Algorithm and Simulated Annealing
... Ranking selection, this method attempts to preserve descendants using a probability determined for each initial rank assigned to individuals by using the evaluation ...the selection probabilities shown in ...
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Diplomacy as an Independent Variable
... Noblemen who seized political posts in the Brazilian Empire are described by Ricupero (2017) in benevolent light. By the time Brazil had become the most powerful nation in S[r] ...
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