Machine learning applied to pore-space geometry in sandstones: a tool for evaluating grain-scale similarity?

Evaluating a tool to Support Programming Learning

The problem of teaching and learning computer programming is far from being solved. In this context, the purpose of this paper is identifying the success factors related to systems used to support the learning process of computer programming. In this paper, it is presented a model supported in the literature review (especially Delone & McLean success model). The empirical work consists of evalu...

Machine Learning : a tool to supportimproved usability ?

A Datagenerator for Evaluating Machine Learning Methods

Evaluating and comparing machine learning methods concerning the effectiveness and the efficiency is a general research problem. For a careful evaluation the availability of data sets with known characteristics is a key issue. We propose a novel approach to intuitively generate data sets for the evaluation and the comparison of machine learning methods. Three case studies are provided to demons...

Quantifying similarity of pore-geometry in nanoporous materials

In most applications of nanoporous materials the pore structure is as important as the chemical composition as a determinant of performance. For example, one can alter performance in applications like carbon capture or methane storage by orders of magnitude by only modifying the pore structure. For these applications it is therefore important to identify the optimal pore geometry and use this i...

SimEval - A Tool for Evaluating the Quality of Similarity Functions

Approximate data matching applications typically use similarity functions to quantify the degree of likeness between two data instances. There are several similarity functions available, thus, it is often necessary to evaluate a number of them aiming at choosing the function that is more adequate to a specific application. This paper presents a tool that uses average precision and discernabilit...