We are witnessing in recent years growing interest for location-dependent information services among mobile users. This paper examines the issue of processing locationdependent qu...
Jianliang Xu, Baihua Zheng, Wang-Chien Lee, Dik Lu...
Abstract. In this paper, we propose a new method for learning to rank. `Ranking SVM' is a method for performing the task. It formulizes the problem as that of binary classific...
Orbits of graphs under local complementation (LC) and edge local complementation (ELC) have been studied in several different contexts. For instance, there are connections between...
Lars Eirik Danielsen, Matthew G. Parker, Constanza...
Classification based on k-nearest neighbors (kNN classification) is one of the most widely used classification methods. The number k of nearest neighbors used for achieving a high ...
The performance of genetic programming relies mostly on population-contained variation. If the population diversity is low then there will be a greater chance of the algorithm bein...