Titlebook: ;

羽飾

https://doi.org/10.1057/9781137529589onal data streams, which is efficient at both count-based and time-based sliding windows regardless the dimensionality of data. Our analysis shows that the time complexity of . is bounded by a subset of the instant skyline, and our evaluation shows the efficiency of . on both of low and high dimensional data streams.

gratify

現(xiàn)暈光

貴族

山羊

Energy-Time Tradeoff in Recurrent Neural Nets,In addition, we present a lower bound on the energy of such a simulation (within a certain range of time overhead) which implies that the energy demands in a fixedsize network increase exponentially with the frequency of presenting the input bits.

Serenity

失誤

ENDOW

Teamwork für smarte Regionenbau digitaler Infrastrukturen und wegweisenden Projekten zur intelligenten Vernetzung sind kommunale Unternehmen wichtige Akteure. Für die Weiterentwicklung der Daseinsvorsorge 4.0 brauchen sie, gerade im Hinblick auf die zukünftige Daten?konomie und die wachsende Bedeutung von Daten, faire Rahmenbedingungen.

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