Numerous measures are used for performance evaluation in machine learning. In predictive knowledge discovery, the most frequently used measure is classification accuracy. With new...
Abstract. This paper describes the official measures of retrieval effectiveness that are employed for the Ad Hoc Track at INEX 2007. Whereas in earlier years all, but only, XML el...
Jaap Kamps, Jovan Pehcevski, Gabriella Kazai, Moun...
Abstract— The ability to measure end-to-end Available Bandwidth (AB) on a network path is useful in several domains, including overlay-routing infrastructure, network monitoring,...
This paper compares two techniques for measuring the length of a digital curve. Both techniques (digital straight segment approximation, minimum length polygon) are known to be co...
One of the central issues in learning to rank for information retrieval is to develop algorithms that construct ranking models by directly optimizing evaluation measures used in i...