Many real-world sequence learning tasks require the prediction of sequences of labels from noisy, unsegmented input data. In speech recognition, for example, an acoustic signal is...
How should a reinforcement learning agent act if its sole purpose is to efficiently learn an optimal policy for later use? In other words, how should it explore, to be able to exp...
We address the problem of extracting semantics of tags ? short, unstructured text-labels assigned to resources on the Web ? based on each tag's metadata patterns. In particul...
Abstract. Purely functional arrays are notoriously difficult to implement and use efficiently due to the absence of destructive updates and the resultant frequent copying. Deforest...
We show how to compute the edit distance between two strings of length n up to a factor of 2 ~O( log n) in n1+o(1) time. This is the first sub-polynomial approximation algorithm f...