This paper proposes a person-centered approach for personal task management in which people can decide management of their tasks according to their environments including their su...
RRL is a relational reinforcement learning system based on Q-learning in relational state-action spaces. It aims to enable agents to learn how to act in an environment that has no ...
Gene and protein structural and functional annotations expressed through controlled terminologies and ontologies are paramount especially for the aim of inferring new biomedical k...
Many web documents (such as JAVA FAQs) are being replicated on the Internet. Often entire document collections (such as hyperlinked Linux manuals) are being replicated many times....
The goal of this paper is to model an agent who dislikes large choice sets because of the “cost of thinking” involved in choosing from them. We take as a primitive a preferenc...