A S RECENTLY AS THE 1980S, education was not universally approached as a lifelong process except to maintain certification, but at present, dietetics practitioners are keenly aware that lifelong learning has evolved from simply being important to something that is essential to achieve professionalsuccess. Infact, in1980,Malcolm S.Knowles,anotededucatoroftenreferred to as the “father of adult le...

Conventional paradigms of machine learning assume all the training data are available when learning starts. However, in lifelong learning, the examples are observed sequentially as learning unfolds, and the learner should continually explore the world and reorganize and refine the internal model or knowledge of the world. This leads to a fundamental challenge: How to balance long-term and short...

Cardiovascular Molecular Imaging A t this year’s SNM Mid-Winter Meeting in San Antonio, TX, the Cardiovascular Council and Molecular Imaging Center of Excellence cosponsored a program entitled, ‘‘Advances in Cardiovascular Molecular Imaging.’’ The program was organized by Mehran M. Sadeghi, MD, from Yale University, and included a series of lectures focused on the emerging field of molecular ca...

The state-of-the-art online learning approaches is only capable of learning the metric for predefined tasks. In this paper, we consider lifelong learning problem to mimic “human learning”, i.e., endow a new capability to the learned metric for a new task from new online samples and incorporating previous experiences and knowledge. Therefore, we propose a new framework: lifelong metric learning ...

Lifelong reinforcement learning provides a successful framework for agents to learn multiple consecutive tasks sequentially. Current methods, however, suffer from scalability issues when the agent has to solve a large number of tasks. In this paper, we remedy the above drawbacks and propose a novel scalable technique for lifelong reinforcement learning. We derive an algorithm which assumes the ...

This chapter discusses a challenging hot topic in the area of Web 2.0 technologies for Lifelong Learning: how to merge such technologies with research on personalization and adaptive e-learning, in order to provide the best learning experience, customized for a specific learner or group of learners, in the context of communities of learning and authoring. We discuss the most well-known framewor...

In this paper, we present a pervasive assistance system for mobile lifelong learning. It constitutes a solution for mobile professionals motivated to improve their skills through a lifelong learning process. Those have to move from place to another to accomplish their duties which make very difficult the mapping of their schedule to lifelong learning centers ones. The proposed solution, which h...

The Policy Research Working Paper Series disseminates the findings of work in progress to encourage the exchange of ideas about development issues. An objective of the series is to get the findings out quickly, even if the presentations are less than fully polished. The papers carry the names of the authors and should be cited accordingly. The findings, interpretations, and conclusions expresse...

Sebastian B. Thrun 2 University of Bonn Institut für Informatik III Römerstr. 164, 53117 Bonn, Germany E-mail: [email protected] Tom M. Mitchell School of Computer Science Carnegie Mellon University Pittsburgh, PA 15213, U.S.A. E-mail: [email protected] Abstract— Learning provides a useful tool for the automatic design of autonomous robots. Recent research on learning robot control has pre...

The term ‘lifelong’, as applied to education or learning, has been in circulation for more than a quarter of a century. It has played an important role in policy discussions, as well as in studies of the sociology and economics of education. The relationship of this term to the rapidly changing world of information and educational technologies, and to the various conceptions of interaction that...