In the development of location-based services, various location-sensing techniques and experimental/commercial services have been used. However, conventional location-based service...
In the realm of multilabel classification (MLC), it has become an opinio communis that optimal predictive performance can only be achieved by learners that explicitly take label d...
Program slicing is a method for decomposing programs by analyzing their data and control flow. Slicingbased techniques have many applications in the field of software engineerin...
There have been numerous attempts to provide a standardized definition of a computational agent, but little consensus has emerged. We propose a simple test for agenthood that can ...
The instance-based k-nearest neighbor algorithm (KNN)[1] is an effective classification model. Its classification is simply based on a vote within the neighborhood, consisting o...