In reinforcement learning, an agent tries to learn a policy, i.e., how to select an action in a given state of the environment, so that it maximizes the total amount of reward it ...
We consider spectral clustering and transductive inference for data with multiple views. A typical example is the web, which can be described by either the hyperlinks between web ...
We introduce a method for learning query transformations that improves the ability to retrieve answers to questions from an information retrieval system. During the training stage...
Applications are the ultimate consumers of the information collected by sensors. There exist several frameworks for the interactions between end-user applications and sensors. They...
Truong Ta, Nuru Yakub Othman, Roch H. Glitho, Ferh...