Many real-world classification problems often have classes with very few labeled training samples. Moreover, all possible may not be initially available for training, and given incrementally. Deep learning models need to deal this two-fold problem in order perform well real-life situations. In paper, we propose a novel Few-Shot Lifelong Learning (FSLL) method that enables deep lifelong/continua...

Grace, A. P. (2009). Resilient sexual-minority youth as fugitive lifelong learners: Engaging in a strategic, assetcreating, community-based learning process to counter exclusion and trauma in formal schooling. In J. Field (Ed.), Proceedings of the Lifelong Learning Revisited: What Next? Conference of the Scottish Centre for Research in Lifelong Learning, University of Stirling, Stirling, UK (4,...

Collaborative learning has proven to be a successful method in traditional classroom settings. Computersupported collaborative learning (CSCL) is regarded a new paradigm in educational technology. Nevertheless, in the context of infrastructures for lifelong learning little attention is paid to collaboration. In this paper we provide an analysis of lifelong learning with respect to collaborative...

This article describes a study that examined the lifelong learning of information systems academics in relation to their normal work. It begins by considering the concept of lifelong learning, its relationship to real-life learning and that lifelong learning should encompass the whole spectrum of formal, non-formal and informal learning. Most world governments had recognised the importance of s...

INTRODUCTION Lifelong learning is an integral part of health professionals' maintenance of competence. Several studies have examined the orientation toward lifelong learning at various stages of the education and career continuum; however, none has looked at changes throughout training and practice. The objective of the present study was to determine if there are differences between groups defi...

In a lifelong learning framework, an agent acquires knowledge incrementally over consecutive learning tasks, continually building upon its experience. Recent lifelong learning algorithms have achieved nearly identical performance to batch multi-task learning methods while reducing learning time by three orders of magnitude. In this paper, we further improve the scalability of lifelong learning ...

BACKGROUND There are more than 4.9 million rural health workers undertaking the health care need of rural population of over 629 million in China. The lifelong learning of physicians is vital in maintaining up-to-date and qualified health care, but rural physicians in many developing countries lack adequate medical professional developments. There has also been no empirical research focused on ...