Most existing algorithms for clinical risk stratification rely on labeled training data. Collecting this data is challenging for clinical conditions where only a small percentage ...
We address a key problem in grapheme-tophoneme conversion: the ambiguity in mapping grapheme units to phonemes. Rather than using single letters and phonemes as units, we propose ...
We present a novel adaptive synchronization algorithm, called the minimum average cost (MAC) algorithm, in the context of the ParaSol parallel simulation system. ParaSol is a mult...
— Minimum distance localization is the problem of finding the shortest possible path for a robot to eliminate ambiguity regarding its position in the environment. We consider th...
This paper reports the present results of a research on unsupervised Persian morpheme discovery. In this paper we present a method for discovering the morphemes of Persian languag...