d abstract) Bartosz Przydatek1 and Reto Strobl2 1 Department of Computer Science, ETH Z¨urich, Switzerland 2 IBM Research, Zurich Research Laboratory, Switzerland In this paper, w...
Abstract. Temporal data are abundantly present in many application domains such as banking, financial, clinical, geographical applications and so on. Temporal data have been extens...
Abstract. We present an SVM-based learning algorithm for information extraction, including experiments on the influence of different algorithm settings. Our approach needs fewer ...
Abstract. Adaptive consistency is a solving algorithm for constraint networks. Its basic step is variable elimination: it takes a network as input, and producesan equivalent networ...
Abstract. We present a cost-based adaptive clustering method to improve average performance of spatial queries (intersection, containment, enclosure queries) over large collections...