A standing question in the field of Intelligent Tutoring Systems and User Modeling in general is what is the appropriate level of model granularity (how many skills to model) and how is that granularity derived? In this paper we will explore varying levels of skill generality within 8 grade mathematics using models containing 1, 5, 39 and 106 skills. We will measure the accuracy of these models...

How well are single-cell properties reproduced by the present-day neuronal models? Recently, several labs have approached this question by assessing the quality of neuron models with respect to spike timing prediction or characteristic features of the voltage trace. So far, every modeler used his own preferred performance measure on his own data set. The Quantitative Single-Neuron Modeling Comp...

a quantitative structure-activity relationship (qsar) study was conducted for the prediction of inhibitory activity of 1-phenyl[2h]-tetrahydro-triazine-3-one analogues as inhibitors of 5-lipoxygenase. the inhibitory activities of the 1-phenyl[2h]-tetrahydro-triazine-3-one analogues modeled as a function of molecular structures using chemometrics methods such as multiple linear regression (mlr) ...

Multispecificity-the ability of a single receptor protein molecule to interact with multiple substrates-is a hallmark of molecular recognition at protein-protein and protein-peptide interfaces, including enzyme-substrate complexes. The ability to perform structure-based prediction of multispecificity would aid in the identification of novel enzyme substrates, protein interaction partners, and e...

Wind data are vital for the research in renewable energy research. Their quality from numerical weather prediction significantly influences wind models. This paper utilizes a comprehensive statistical analysis analyzing predictive errors, named residuals of speed and direction modeled by The analysis, taken an Arctic site as example, effectively integrates inference, probabilistic modeling, hyp...

While deformable object modeling has been studied in computer graphics for more than two decades, only a few applications in surgical simulation have been developed which provide both real-time and physically realistic modeling of complex, non-linear, tissue deformations. Especially in craniofacial surgery the prediction of soft tissue changes which are the result of the alteration of the under...

While deformable object modeling has been studied by computer graphics specialists for more than two decades, only a few applications in the field of surgical simulation have been developed which provide both real-time and physically realistic modeling of complex, nonlinear tissue deformations. Particularly in craniofacial surgery, the prediction of soft-tissue changes--which result from altera...