Predicting with the model
A Heuristic Model for Predicting Bankruptcy
... Hassan Yazdifar University of Salford ABSTRACT Bankruptcy prediction is one of the major business classification problems. The main purpose of this study is to investigate Kohonen self-organizing feature map in term of ...
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Biases in Predicting the Human Language Model
... the model to predict a lower RT for this word than is observed ...a model predicting RTs from Google- derived frequency estimates to predict a far lower RT for this word than ...
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Predicting Abraham model solvent coefficients
... figure, model outliers include: formamide, trifluoroethanol, carbon disulfide, and ...the model makes far better predictions for solvents towards the center of the chemical space with particular success in ...
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Model for Predicting Road Markings Service Life
... The results of the verification show that the average measured retroreflectivity of the existing road markings applied in solvent-borne paint is 173.97 mcd/lx/m 2 , while the average modelled retroreflectivity of the ...
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An Embedding Model for Predicting Roll Call Votes
... novel model for predicting Congressional roll-call votes. This new model provides a new and interesting way of analyz- ing the behavior of parties and ...prior model of roll-call ...
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Nonlinear chaotic model for predicting storm surges
... chaotic model for predicting storm surges Nonetheless, the analyses of the risk of coastal floods are not straightforward, because an observed flood is not a single independent event in statistical ...
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Development of Model Equations for Predicting Gasoline Blending Properties
... Two model equations, multivariable nonlinear and multivariable exponential are proposed in this study which are useful in predicting three significant properties of a motor gasoline: research octane number, ...
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Predicting Precipitation Events Using Gaussian Mixture Model
... Mixture Model, Classification, EM Algorithm, Precipitation Event ...Introduction Predicting precipitation events, as a part of weather prediction, is often done by numerical weather ...mixture model ...
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An Improved Data mining Model for Predicting Medical Issues
... mining model over the bench mark datasets and explore the possibility to predict early possible diseases based on the historical data ...data model is developed for including the datasets heart and ...data ...
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The model of system predicting with the use of dynamic arrangement schemesa
... and predicting activity are ...dynamic model of the cost growth is proposed by the ...the predicting model. A variant of a structure of an adaptive model of dynamic cosubordination of ...
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Predicting metabolite-disease associations based on KATZ model
... in predicting metabolite-disease associations in this study (see ...This model in the heteroge- neous network could obtain a score matrix which reflects the possible associations between each ...
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ANN Model for Predicting Protein Localization Sites in Cells
... ANN model which utilizes the Dataset for UCI Machine Learning Repository, for predicting localization sites of ...for predicting Protein Localization Sites in Cells is ...
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A model of predicting hog prices based on hadoop and SVM
... of predicting hog prices, this paper proposes a model of predicting hog prices based on Hadoop and support vector machine ...regression model is constructed by adding arguments from the pig ...
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Model for predicting short term mortality of severe sepsis
... prognostic model for predicting death within 14 days of severe sepsis onset at any time during the first 28 days of the ICU ...The model was to be based on variables collected at admission and on the ...
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A Markov chain model for predicting Major League Baseball
... our model for 1, 728 games from the 2015 MLB ...previously, predicting player performance in a given season (as projection sys- tems such as Steamer attempt) is, in and of itself, an inexact ...our ...
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Learning a Bayesian network model for predicting wildfire behavior
... network model for predicting wildfire behavior ...(BN) model for predicting wildfire spreading was ...BN model was then constructed from these indicators using phenomenological ...
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Performance of a reciprocity model in predicting a positive reciprocity decision
... reciprocity model in predicting ...any model that has more than one parameter. For instance, if a model has two parameters, the approach uses two conditional scenarios to learn each subject's ...
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Performance of a reciprocity model in predicting a positive reciprocity decision
... in predicting a decision. The reciprocity model is measured its accuracy rate in prediction and informativeness as aspects of the model's ...the model has high performance in both prediction and ...
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A LOCALIZED LOGIT MODEL FOR PREDICTING INFANT SURVIVAL OUTCOMES
... Logistic Model, local to the Maria Goretti hospital Anyigba, Kogi State, Nigeria for predicting infant survival ...This model is hoped to compliment the efforts of the Medical Practitioners in this ...
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A Logistic Model Predicting Occurrence Probability of Debris Flow
... logistic model for predicting the occurrence probability of debris flows based on rainfall intensity and ...the model, among which 249 were triggering a debris flow while 105 were ...The model ...
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