When using Bayesian networks, practitioners often express constraints among variables by conditioning a common child node to induce the desired distribution. For example, an ‘orâ...
SimStudent is a machine-learning agent that learns cognitive skills by demonstration. SimStudent was originally built as a building block for Cognitive Tutor Authoring Tools to hel...
Noboru Matsuda, William W. Cohen, Jonathan Sewall,...
One of the most important tasks performed in the early stages of a data warehouse project is the analysis of the structure and content of the existing data sources and their inten...
Experiments with simulators allow psychologists to better understand the causes of human errors and build models of cognitive processes to be used in Human Reliability Assessment ...
CRM is a strategy that integrates the concepts of Knowledge Management, Data Mining, and Data Warehousing in order to support the organization’s decision-making process to retai...