the university of tehran english proficiency test (utept) is a high-stakes entrance examination taken by more than 10,000 master’s degree holders annually. the examinees’ scores have a significant influence on the final decisions concerning admission to the university of tehran ph.d. programs. as a test validation investigation, the present study, which is a bias detection research in nature, u...

This paper demonstrates the use of Data Mining (DM) techniques in exploratory research. A robust model for identifying the factors that explain the success of Open Source Software (OSS) projects is created, validated and tested. The predictive modeling techniques of Logistic Regression (LR), Decision Trees (DT) and Neural Networks (NN) are used together in this analysis. Using Text Mining resul...

There are two broadly-defined applications of artificial neural networks (ANNs) in SAR/QSAR modeling. The first is the use of networks as preprocessors to reduce the dimensionality of chemical descriptors for use in statistical or network models. The second is to create classification models for predictive toxicology. This report discusses the use of ANNs as classifiers in SAR/QSAR modeling and...

Introduction Acute Kidney Injury (AKI) is associated with increased morbidity and mortality in critically ill patients [1]. Early detection and treatment may improve outcome. Previously, we developed a logistic regression (LR) model for early detection of AKI based on routinely collected data available at baseline, ICU admission and at the end of the first day (LR_BAD1) [2]. Continuous monitori...

Aim: The forecast of Myocardial Infarction for humans employing a Machine learning model by corresponding Logistic Regression Algorithm with CatBoost Classifier. accuracy is enhanced utilizing the novel LR Materials and Methods: study utilized total 20 sample iterations, 10 samples per group. Group 1 was analyzed using logistic regression algorithm, while 2 decision tree classifier. statistical...

BACKGROUND In order to better assist medical professionals, this study aimed to develop and compare the performance of three models-a multivariate logistic regression (LR) model, an artificial neural network (ANN) model, and a decision tree (DT) model-to predict the prognosis of patients with advanced schistosomiasis residing in the Hubei province. METHODOLOGY/PRINCIPAL FINDINGS Schistosomias...

We present linear-time estimators for three popular covariate shift correction and propensity scoring algorithms: logistic regression(LR), kernel mean matching(KMM) [19], and maximum entropy mean matching(MEMM)[20]. This allows applications in situations where both treatment and control groups are large. We also show that the last two algorithms differ only in their choice of regularizer (l2 of...

We present a spoken dialogue system for navigating information (such as news articles), and which can engage in small talk. At the core is a partially observable Markov decision process (POMDP), which tracks user’s state and focus of attention. The input to the POMDP is provided by a spoken language understanding (SLU) component implemented with logistic regression (LR) and conditional random f...