Convolutional dictionary learning (CDL), the problem of estimating shift-invariant templates from data, is typically conducted in absence a prior/structure on templates. In data-scarce or low signal-to-noise ratio (SNR) regimes, learned overfit data and lack smoothness, which can affect predictive performance downstream tasks. To address this limitation, we propose GPCDL, convolutional framewor...

background and objectives: in continuous medical learning programs, selection of appropriate learning methods is important for streaming individuals by learning process. the goal of this study is to compare in-presence learning method with distance learning method and explore their effect on the knowledge of health workers (practical nurses) in terms of reduced expenses.   methods: the study is...

social learning and knowledge generation are two key factors to achieve successful natural resources co-management. social learning can be beneficial by broadcasting and transmitting experiences and problem solving ideas in a group of people. social learning networks can transmit knowledge and experiences from one node to another in the network. social learning can produce a suitable learning a...

., life long learning is increasingly acknowledged to be a characteristic of professionalism. new information is being generated with increasing rapidity and educators must be able to cope with it. to study the effects of educational workshops hold by edc of tums on the participant faculty. methods. the subjects of this cross-sectional descriptive study were 375 faculty members of tums and the ...