The Bayesian CART (classiication and regression tree) approach proposed by Chipman, George and McCulloch (1998) entails putting a prior distribution on the set of all CART models and then using stochastic search to select a model. The main thrust of this paper is to propose a new class of hierarchical priors which enhance the potential of this Bayesian approach. These priors indicate a preferen...

Depression is a mood disorder that involves the continuing feeling of sadness and loss interest. The crucial life events for an individual, such as losing job may lead to depression. However, feelings grief are clinically diagnosed part depression only if symptoms persist at least two weeks. Eventually, can last several weeks, months, or years. Some overlap with other somatic illnesses cause di...

This paper investigates consumers' response to conditional promotions (CP) offered in an offline retail store. Using qualitative research inquiry, we decipher the consumer decision-making process by finding linkages between 'pre-cart' and 'post-cart' add-on purchases. Thematic analysis of data (focus groups personal interviews) resulted four themes, i.e. 'Criticality Product Utility,' 'Mode Pay...

A preprocessing scheme based on linear prediction coefficient (LPC) residual is applied to higher-order statistics (HOSs) for automatic assessment of an overall pathological voice quality. The normalized skewness and kurtosis are estimated from the LPC residual and show statistically meaningful distributions to characterize the pathological voice quality. 83 voice samples of the sustained vowel...

Poverty is a global problem that of concern to the world. It can be seen from SDGs declaration, which makes poverty top priority. Good management will help solve other world problems such as hunger, health, welfare, education, and sanitation. To achieve goal handling quickly maximally, an analysis identify poor households correctly designed so targeted program according characteristics classifi...

Recent reports from our laboratory and others support the SELDI ProteinChip technology as a potential clinical diagnostic tool when combined with $n$ -dimensional analyses algorithms. The objective of this study was to determine if the commercially available classification algorithm biomarker patterns software (BPS), which is based on a classification and regression tree (CART), would be effect...

This Research paper focused on Classification accuracy based on Users’ Preferences from the Web Learning System. This comparative study considers various classification algorithms like j48, Random Tree, Random Forest, CART and Naive Bayes in the Web Learning System. It also focuses on Artificial Neural Network (ANN) algorithms. The classification accuracy is identified by user’s requirements ba...

We demonstrate a Bayesian classification and regression tree (CART) approach to link multiple environmental stressors to biological responses and quantify uncertainty in model predictions. Such an approach can: (1) report prediction uncertainty, (2) be consistent with the amount of data available and (3) be flexible enough to permit updates and improvements. Tree-based methods are a flexible ap...

In this paper, an efficient node-level target classification scheme in wireless sensor networks (WSNs) is proposed. It uses acoustic and seismic information, and its performance is verified by the classification accuracy of vehicles in a WSN. Because of the hard limitation in resources, parametric classifiers should be more preferable than non-parametric ones in WSN systems. As a parametric cla...