Predictive toxicology is the task of building models capable of determining, with a certain degree of accuracy, the toxicity of chemical compounds. Machine Learning (ML) in general...
In some domains, including those requiring natural language understanding, we cannot build a system that can complete the entire task. One way to deal with such cases is to encode ...
Configuration assistants are tools for guiding the final user in simple configuration tasks, such as product assembling and customisation or study plans generation. For their wide ...
Abstract. The amount of machine oriented data on the web as well as the deployment of agent/Web Services are simultaneously increasing. This poses a service-discovery problem for c...
Reinforcement learning addresses the problem of learning to select actions in order to maximize one's performance inunknownenvironments. Toscale reinforcement learning to com...