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...

Previous research studies, which were performed under different task environments, identified a variety of factors that can affect student satisfaction with e-learning courses. Lifelong e-learning courses can be different from typical e-learning courses because they are designed to provide "lifelong, voluntary, and self-motivated" pursuit of knowledge for either personal or professional reasons...

The combination of low and falling costs of storage, combined with increasingly pervasive and ubiquitous computing are creating the possibility of very long term user modelling. This paper explores some of the fundamental questions about the nature of a lifelong user model. It begins by exploring the relationship between the new goals that lifelong user models can support and the concomitant is...

Early identification of pediatric disfluency and voice disorders is advisable because these disorders may progress to lifelong communicative impairments if left untreated. Especially with disfluency or stuttering, it is critical that an informed differential diagnosis be made to determine whether a speech pattern represents normal disfluency or actual stuttering. Voice disorders can be overlook...

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...

Lifelong learning is the problem of learning multiple consecutive tasks in a sequential manner where knowledge gained from previous tasks is retained and used for future learning. It is essential towards the development of intelligent machines that can adapt to their surroundings. In this work we focus on a lifelong learning approach to generative modeling where we continuously incorporate newl...