We introduce an approach to autonomously creating state space abstractions for an online reinforcement learning agent using a relational representation. Our approach uses a tree-b...
Dynamic Bayesian networks are structured representations of stochastic processes. Despite their structure, exact inference in DBNs is generally intractable. One approach to approx...
The problem of efficiently finding images that are similar to a target image has attracted much attention in the image processing community and is rightly considered an informatio...
Xiaopeng Xi, Eamonn J. Keogh, Li Wei, Agenor Mafra...
A tandem repeat is a sequence of two or more contiguous, approximate copies of a pattern. Tandem repeats occur in the genomes of both eukaryotic and prokaryotic organisms. They ar...
We investigate a series of graph-theoretic constraints on non-projective dependency parsing and their effect on expressivity, i.e. whether they allow naturally occurring syntactic...