with a full abstract specification of the data-types involved and a multi-level architecture similar to that of a DBMS. A related question is the kind of model that is most suitabl...
This paper introduces an unsupervised vector approach to disambiguate words in biomedical text that can be applied to all-word disambiguation. We explore using contextual informat...
To increase the lifetime of the sensor networks, a recognized method is to switch off/on some sensor nodes between “sleep” and “activity” mode in order to save the energy....
The paper describes our first experiments on Reinforcement Learning to steer a real robot car. The applied method, Neural Fitted Q Iteration (NFQ) is purely data-driven based on ...
Martin Riedmiller, Michael Montemerlo, Hendrik Dah...
Abstract. This paper presents a series of experiments investigating the effectiveness of query-independent features extracted from retrieved objects to predict relevancy. Features...