... The experiments performed using two data sets from the UCI database, and a face classification problem using the AR Face data base suggest that the multi- task approach fares better than a single task learning of the ...

8

... Size fitting is a significant problem for online garment shops. The return rates due to size misfit are very high. We propose an ensemble (with an original and novel definition of the weights) of ordered **logistic** ...

31

... factor **Logistic** **regression** analysis were carried out for malignant signs, and **regression** model was established to predict the risk of breast disease according to the ultrasonic ...

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... Optimizing logistic regression coefficients for discrimination and calibration using estimation of distribution algorithmsV. Ohno-Machado.[r] ...

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... This method uses Elastic Net Logistic Regression [2] as its base algorithm, overlays it with two layers of cross-validation for the automatic optimal tuning of the model's parameters [r] ...

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... We run the binary **logistic** **regression** because the dependent variable is categorical. Results in above table show except for risk perception all variables significantly affect the investor behavior. Return ...

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... Figure 5 Left: Damage level observed for different material types of retaining walls. Right: 505[r] ...

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... Figure 10 shows the classification accuracy achieved in the complete set of 15 subjects and with the raw+correlation type of information for all the channels, the occipitoparietal c[r] ...

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... This process leads to a bruise probability p' when substituting the generated x\ in function g(-). Finally, we determine whether or not the fruit is damaged at the transfer point in qu[r] ...

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... Introduction and aim. HCV-infected immigrants contribute to the total prevalence in Canada and other developed nations. Little is known about engagement in care, access to service, and treatment outcomes in recipients of ...

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... To analyze risk factors contributing to the occurrence of extended lactation (defined as a binary trait distinguishing between cows with more than 450 days in milk (1) and cows less than 450 days of lactation (0)), a ...

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... A **logistic** **regression** analysis was then carried out, using death as the dependent variable, and pre- hospital antibiotic use, age, time from onset of symptoms to parenteral antibiotics and the propensity ...

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... Nevertheless, **logistic** **regression** analysis showed that PBL telomere size was a consistent risk factor for concurrent knee OA, independent of these health ...

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... Estimation of the statistical significance of DIF. We used three computational methods to estimate the statistical significance of DIF. Firstly, we estimated the Mantel-Haenszel chi-square and the Breslow-Day chi- square ...

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... the **logistic** **regression** deals with the capability of predicting individual cases whereas niche overlap indexes consider all the cases ...by **logistic** **regression** analyses would be those adding ...

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... Table 2 Multivariate Logistic Regression Analysis of Immunologic Risk Factors for Development of Severe Infection Variable Pre-HT IgG hypogammaglobulinemia < 600 mg/dl Pre-HT C3 < 126 mg[r] ...

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... In order to optimize the algorithm behaviour, the GridSearchCV tool provided by Scikit- learn has been used. This module allows you to know the hyper-parameters that give the best results to a classifier when classifying ...

139

... While **logistic** **regression** models detect only linear relationships be- tween the independent variables and the de- pendent variable, the neural network models can also detect non-linear ...with ...

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... of **logistic** **regression** has been built, with which we can estimate probabilities as a function of the various patient characteristics or the health care setting where the prescription was done (logit= ...

6