We consider a server location problem with only one server to move. In this paper we assume that a request is given as a region and that the service can be done anywhere inside th...
As with any application of machine learning, web search ranking requires labeled data. The labels usually come in the form of relevance assessments made by editors. Click logs can...
Online Boosting is an effective incremental learning method which can update weak classifiers efficiently according to the object being trackedt. It is a promising technique for o...
Anticipatory algorithms for online stochastic optimization have been shown very effective in a variety of areas, including logistics, reservation systems, and scheduling. For such ...
This paper examines the question: How do cultural differences influence students' perceptions of Web-based learning? Research on cultural differences by Hofstede [1] [2] is us...