Spatial joins are one of the most important operations for combining spatial objects of several relations. In this paper, spatial join processing is studied in detail for extended...
Thomas Brinkhoff, Hans-Peter Kriegel, Ralf Schneid...
A central problem in artificial intelligence is to choose actions to maximize reward in a partially observable, uncertain environment. To do so, we must learn an accurate model of ...
Background: The estimation of the difference between two evolutionary distances within a triplet of homologs is a common operation that is used for example to determine which of t...
Christophe Dessimoz, Manuel Gil, Adrian Schneider,...
This paper addresses the issue of policy evaluation in Markov Decision Processes, using linear function approximation. It provides a unified view of algorithms such as TD(), LSTD()...
The increasing prominence of data streams arising in a wide range of advanced applications such as fraud detection and trend learning has led to the study of online mining of freq...