Differential privacy preserving regression models guarantee protection against attempts to infer whether a subject was included in the training set used to derive a model. It is not designed to protect attribute privacy of a target individual when model inversion attacks are launched. In model inversion attacks, an adversary uses the released model to make predictions of sensitive attributes (u...

Resampling procedures for fitting models and model selection are considered in this article. Nonparametric goodness-of-fit statistics are generally based on the empirical distribution function. The distribution-free property of these statistics does not hold in the multivariate case or when some of the parameters are estimated. Bootstrap methods to estimate the underlying distributions are disc...

production of several yeast products occur in presence of mixtures of monosaccharides. to study effect of xylose and glucose mixtures with system aeration and nitrogen source as the other two operative variables on xylitol production by pichia guilliermondii, the present work was defined. artificial neural network (ann) strategy was used to athematically show interplay between these three contr...

This paper proposes a method to modify the expression or emotion in a sample of speech without altering the speaker’s identity. The method exploits a statistical speech model that factorises the speaker identity from expressions using linear transforms. For this approach, the set of transforms that best fit the speaker and expression of the input speech sample are learned. They are then combine...

An Active Appearance Model (AAM) is a variable shape and appearance model built from annotated training images. It has been largely used to synthesize or fit face images. Person-independent face AAM fitting is a challenging open issue. For standard AAMs, fitting a face image for an individual which is not in the training set is often limited in accuracy, thereby restricting the range of applica...

Some researchers have argued that algebra word problems are difficult for students because they have difficulty in comprehending English. Others have argued that because algebra is a generalization of arithmetic, and generalization is hard, it’s the use of variables, per se, that cause difficulty for students. Heffernan and Koedinger [9] [10] presented evidence against both of these hypotheses....

When comparing the ability of computational cognitive models to fit empirical data, the complexity of the compared models needs to be taken into account. A promising method for achieving this is the parametric bootstrap cross-fitting method (PBCM) proposed by Wagenmakers, Ratcliff, Gomez, and Iverson (2004). We contribute to a wider applicability of the PBCM in two ways: First, we compare the p...

In this paper we deal with model predictive control for ramp metering on motorways. A discussion of the way ramp metering tries to prevent, or postpone, congestion on a motorway is presented. As an example, a real-life motorway in Belgium is presented. We discuss a traffic flow model that is used in a receding horizon framework and we argue that the quality of the fit of the traffic flow model ...

Surfactant-dye interactions are very important in chemical and dyeing processes. The dyes interact strongly with surfactant and show new spectrophotometric properties, so the UV-vis absorption spectrophotometric method has been used to study this process and extract some thermodynamic parameters. In this work, the association equilibrium between ionic dyes and ionic surfactant were studied by a...