Heuristic search methods promise to find shortest paths for path-planning problems faster than uninformed search methods. Incremental search methods, on the other hand, promise to find shortest paths for series of similar path-planning problems faster than is possible by solving each path-planning problem from scratch. In this article, we develop Lifelong Planning A* (LPA*), an incremental vers...

Lifelong machine learning (or lifelong learning) is an advanced machine learning paradigm that learns continuously, accumulates the knowledge learned in previous tasks, and uses it to help future learning. In the process, the learner becomes more and more knowledgeable and effective at learning. This learning ability is one of the hallmarks of human intelligence. However, the current dominant m...

OBJECTIVES To examine the potential of lifelong patterns of increased physical activity to prevent stroke. DESIGN Case-control study. SETTING 11 general practices in west Birmingham. SUBJECTS 125 men and women who had just had their first stroke and were aged 35-74 and 198 controls frequency matched for age and sex recruited over 24 months during 1988-90. Exclusion criteria were a previou...

Lifelong machine learning (LML) models learn with experience maintaining a knowledge-base, without user intervention. Unlike traditional single-domain models they can easily scale up to explore big data. The existing LML models have high data dependency, consume more resources, and do not support streaming data. This paper proposes online LML model (OAMC) to support streaming data with reduced ...

Community participation by people with lifelong disability is not a new concept. Yet, within the field of disability there is ongoing debate about the barriers to participation and how these can be solved. At a practical level, participation remains an issue that is often misunderstood by many who seek to promote the integration of adults with lifelong disability into the community. Community p...

The paper describes the integration of brain-inspired systems to perform audiovisual pattern recognition tasks. Individual sensory pathways as well as the integrative modules are implemented using a fast version of spiking neurons grouped in evolving spiking neural network (ESNN) architectures capable of lifelong adaptation. We design a new crossmodal integration system, where individual modali...

Although there exist numerous pediatric sleep disorders as defined by the DSM-IV and the American Sleep Disorders Association, the majority of these problems are transient in nature and/or present problems primarily at night (e.g. insomnia, enuresis, nightmares, night terrors, somnambulism). Sleep apnea and narcolepsy, conversely, are often chronic, potentially lifelong disorders that give rise...

Through researching construction principle, system framework and operation mechanism of digital lifelong learning platform, constructing such a platform needs include the following functions: first, digital lifelong learning platform is able to provide convenient, flexible and personalized learning environment for the learners; second, it achieve the lifelong learning overpass of vertical join ...

The growing importance of Lifelong Learning must be seen against the background of profound changes, reflected in all aspects of our living environment. These changes concern the global environment, but also our personal, economic, social, cultural and political environments. Lifelong Learning is a ‘must’ in the real-life context of the Knowledge Society and covers “all purposeful learning from...