The paper focuses on the robust 30-30 single and multiple pose estimation. The robust 30-30 single pose estimation was formulated aa a general regression in terms of a contaminated Gaussian error noise model (Haralick et al., 1989). The robust 30 -30 multiple pose estimation appears much more dificult. In the paper, the problm is formulated as a series of general regressions involving a success...

this study examined the substantive and predictive validity facets of the university entrance examination for english major (ueeem) students. to that aim, 111 english major students were recruited to report their scores on each of the subtests of the test as well as their grade point average. sequential multiple regressions and factor analysis were used in the analysis of the data. results ackn...

In statistics, logistic regression is a regression model to predict a binomially distributed response variable. Recent research has investigated the opportunity of combining logistic regression with decision tree learners. Following this idea, we propose a novel Logistic Model Tree induction system, SILoRT, which induces trees with two types of nodes: regression nodes, which perform only univar...

A series of 2-benzoxazolinone, diazocoumarin and quinazoline derivatives have been shown to inhibit HIV replication in cell culture. To understand the pharmacophore properties of selected molecules and design new anti-HIV agents, quantitative structure–activity relationship (QSAR) study was developed using a descriptor selection approach based on the stepwise method. Multiple linear regression ...

the aim of this research was to optimize bioremediation of seawater samples spiked with 1000 mg/l crude oil for removal of n-alkanes (c12h26 to c34h70). bioaugmentation experiments were performed at laboratory scale: each bioreactor contained 250 ml dispersed crude-oil-contaminated seawater, indigenous acclimatized microorganism and nitrogen and phosphorus at concentrations based on central com...