In multi-instance learning, the training set comprises labeled bags that are composed of unlabeled instances, and the task is to predict the labels of unseen bags. Through analyzin...
— In this paper I show how ontologies support the student modelling through the semantic definition of concepts that depict a student. The aim is to outline the framework for bui...
—In this paper, we present a method to analyze different implementations of stream-based applications on heterogeneous multiprocessor systems. We take both resource usage and per...
Abstract. The problem of classification from positive and unlabeled examples attracts much attention currently. However, when the number of unlabeled negative examples is very sma...
Xiaoling Wang, Zhen Xu, Chaofeng Sha, Martin Ester...
In this paper, we describe the use of a cluster as a generalized facility for development. A development facility is a system used primarily for testing and development activities...