Accurate segmentation of carotid artery plaque in MR images is not only a key part but also an essential step for in vivo plaque analysis. Due to the indistinct MR images, it is very difficult to implement the automatic segmentation. Two kinds of classification models, that is, Bayes clustering and SSVM, are introduced in this paper to segment the internal lumen wall of carotid artery. The comp...

The main hypothesis about Thomas Bayes’s intentions to write his famous {\it Essay} on probability is that he wanted refute the arguments of David Hume against reliability occurrence miracles, published in 1748. In this paper we argue it was not intention rebut but interest ``inverse problem'' came as result study second edition Abraham De Moivre’s book, Doctrine Chances}, 1738. A possible comm...

A k-space-time Bayesian statistical reconstruction method (K-Bayes) is proposed for the reconstruction of metabolite images of the brain from proton (1H) magnetic resonance (MR) spectroscopic imaging (MRSI) data. K-Bayes performs full spectral fitting of the data while incorporating structural (anatomical) spatial information through the prior distribution. K-Bayes provides increased spatial re...

In the traditional na¨ıve Bayes classification method, training data are represented as a single table (or database relation), where each row corresponds to an example and each column to a predictor variable or a target variable. In this paper we propose a multi-relational extension of the na¨ıve Bayes classification method that is characterized by three aspects: first, an integrated approach i...

This study focused on generating simple and expressive domain models of Mental Retardation (MR) from data using Knowledge Discovery and Datamining (KDD) methods. 2137 cases (mild or borderline MR) and 2165 controls (randomly selected) from the National Collaborative Perinatal Project (NCPP), a multicentric study involving pregnant mothers and the outcomes, constituted our sample. Twenty attribu...

a two-factor experiment with interaction between factors wherein observations follow an inverse gaussian model is considered. analysis of the experiment is approached via an empirical bayes procedure. the conjugate family of prior distributions is considered. bayes and empirical bayes estimators are derived. application of the procedure is illustrated on a data set, which has previously been an...

In this paper we propose an extension of the naïve Bayes classification method to the multi-relational setting. In this setting, training data are stored in several tables related by foreign key constraints and each example is represented by a set of related tuples rather than a single row as in the classical data mining setting. This work is characterized by three aspects. First, an integrated...

Due to unstructured and large amounts of data, relational databases are no longer suitable for data management. As a result, new known as NOSQL have been introduced. The issue is that such database difficult analyze. Online analytical processing (OLAP) the foundational technology analysis in business intelligence. Because these technologies were designed primarily systems, performing OLAP diffi...