Predicting an individual’s behaviour in one task based on their behaviour in a different task is a key challenge in modeling individual decision-making tendencies. We ...

In high-stakes situations like health care—or weeknight "Jeopardy!"—it can be safer to say "I don't know" than to answer ...

Experimental data from a patent were analyzed to learn about the small molecule additives that were most effective in mitigating the degradation of polyethylene terephthalate. Two sets of molecular ...

Social media is one of the most important aspects of our day to day life. For you my wonder what exactly is social media. Social media is nothing more than a website or an application that is used to ...

Computer vision systems combined with machine learning techniques have demonstrated success as alternatives to empirical methods for classification and selection. This study aimed to classify tomatoes ...

Linear Trees combine the learning ability of Decision Tree with the predictive and explicative power of Linear Models. Like in tree-based algorithms, the data are split according to simple decision ...

Multi-criteria decision-making (MCDM) is one of the most widely used decision methodologies in the sciences, business, government and engineering fields. The goal of this research is to extend ...

The ML Algorithm Selector is an interactive desktop application built with Python and Tkinter. It guides users through a decision-making process to identify suitable machine learning algorithms for ...