OBJECTIVE Family-based treatment models that have shown effectiveness with juvenile offenders may also lead to reduced criminality in siblings of those offenders. However, the lasting effects of such treatments on siblings have not been evaluated. In the present study, the authors examined criminal outcomes for siblings of serious and violent juvenile offenders who had participated on average 2...

Combining multiple neural networks appears to be a very promising approach in improving neural network generalisation since it is very difficult, if not impossible, to develop a perfect single neural network. In the building of an aggregated neural network model, a number of individual networks are developed from different data sets and/or different training algorithms. In this paper, individua...

The existing suite of training devices for Army aviators is composed of single cockpit, stand-alone devices designed to support training appropriate for an individual aviator or a single crew. These training devices, while completely appropriate for individual aviator and crew training do not possess the networking and interoperability capability necessary to address collective, unit-level trai...

Objective: The aim of the present study was to explore whether individual characteristics such as age, education, vocabulary, and baseline performance in a working memory (WM) task-similar to the one used in the training (criterion task)-predict the short- and long-term specific gains and transfer effects of a verbal WM training for older adults. Method: Four studies that adopted the Borella et...

In this paper we analyse individual vocational rehabilitation clients’ decisions to enter active training or not. Although the Government pays the direct costs of training, the composition of the total costs of training may be decisive for individual choices. Based on labour market theory, we relate background characteristics of the clients to monetary opportunity costs and non-monetary costs o...

The DMP1 (Dynamic Multi-layer Perceptron 1) network training method is based upon a divide and conquer approach which builds networks in the form of binary trees, dynamically allocating nodes and layers as needed. This paper introduces the DMP1 method, and compares the preformance of DMP1 when using the standard delta rule training method for training individual nodes against the performance of...