A top-k query retrieves the k highest scoring tuples from a data set with respect to a scoring function defined on the attributes of a tuple. The efficient evaluation of top-k q...
Gautam Das, Dimitrios Gunopulos, Nick Koudas, Niko...
In this paper we briefly discuss the knowledge-on-demand (KOD) paradigm as it emerges from the current needs of the knowledge-based society. Basic requirements for on-demand learn...
Demetrios G. Sampson, Charalampos Karagiannidis, A...
In this paper, we study an adaptive random search method based on continuous action-set learning automaton for solving stochastic optimization problems in which only the noisecorr...
This paper describes a novel real-world reinforcement learning application: The Neuro Slot Car Racer. In addition to presenting the system and first results based on Neural Fitted...
Abstract. The problem of merging multiple sources information is central in several domains of computer science. In knowledge representation for artificial intelligence, several a...