Maximum entropy is a powerful concept that entails a sharp separation between relevant and 910-005270 irrelevant variables.It is typically invoked in inference, once an assumption is made on what the relevant variables are, in order to estimate a model from data, that affords predictions on all other (dependent) variables.Conversely, maximum entrop
Book reviews online
Many thousands of books are published each year, and even specialists find it difficult to keep abreast of new books in their disciplines, learning technology being no exception - indeed, in our subject-area the situation is beginning to reach saturation point.The bookreview procedure facilitates selection: a good review will capture the 910-005270
Convolution neural network with batch normalization and inception-residual modules for Android malware classification
Abstract Deep learning technology is changing the landscape of cybersecurity research, especially the study of large amounts of data.With the rapid growth in the number of malware, developing of an efficient and reliable method for classifying malware has become one of the research priorities.In this paper, a new method, BIR-CNN, is proposed to cla
From pilot to a multi-site trial: refining the Early Detection of Deterioration in Elderly Residents (EDDIE +) intervention
Abstract Background Early Detection of Deterioration in Elderly Residents (EDDIE +) is a multi-modal intervention focused on empowering nursing and personal care workers to identify and proactively manage deterioration of residents living in residential aged care (RAC) homes.Building on successful pilot trials conducted between 2014 and 2017, the i