The results of the latest International Probabilistic Planning Competition (IPPC-2008) indicate that the presence of dead ends, states with no trajectory to the goal, makes MDPs h...
We study an approach to policy selection for large relational Markov Decision Processes (MDPs). We consider a variant of approximate policy iteration (API) that replaces the usual...
Multirelational classification aims at discovering useful patterns across multiple inter-connected tables (relations) in a relational database. Many traditional learning techniques...
This paper presents a novel learning method for human action detection in video sequences. The detecting problem is not limited in controlled settings like stationary background or...
—This paper presents the open learning object repository and collaborative authoring platform LeMill (http://lemill.net), which has over 7,500 members and over 8,500 reusable lea...
Teemu Leinonen, Jukka Purma, Hans Poldoja, Tarmo T...