Digital memorials are currently addressed in several studies on the design this type of system requires. However, as different types have needs, research analyzes characteristics software terms design, structural elements, cultural relevance etc. This paper presents an overview recommendations for digital memories from published articles and sums them up.

Due to the significant progress in automated verification, there are often several techniques for a particular verification problem. In many circumstances different techniques are complementary — each technique works well for different type of input instances. Unfortunately, it is not clear how to choose an appropriate technique for a specific instance of a problem. In this work we argue that t...

In the past decades Machine Learning algorithms have been successfully used in several classification problems. While they often significantly outperform domain experts (in terms of classification accuracy or otherwise), they are mostly not being used in practice. A plausible reason for this is that it is difficult to obtain an unbiased estimation of a single classification’s reliability. While...

Background and purpose - Different radiographic classifications have been proposed for prediction of outcome in Perthes disease. We assessed whether the modified lateral pillar classification would provide more reliable interobserver agreement and prognostic value compared with the original lateral pillar classification and the Catterall classification. Patients and methods - 42 patients (38 bo...

Classifications have been used for centuries with the goal of cataloguing and searching large sets of objects. In the early days it was mainly books; lately it has also become Web pages, pictures and any kind of digital resources. Classifications describe their contents using natural language labels, an approach which has proved very effective in manual classification. However natural language ...

Despite the existence of aids for programming, errors in programming development remain, and often prove very costly. Much more work is required in error management. This paper shows how error classifications can provide useful error management information. A number of error classifications already exist. Along with looking at some of these existing classifications, two classifications of loopi...

Many document classification applications require human understanding of the reasons for data-driven classification decisions: by managers, client-facing employees, and the technical team. Predictive models treat documents as data to be classified, and document data are characterized by very high dimensionality, often with tens of thousands to millions of variables (words). Unfortunately, due t...

The word "classification" can be used in a broad sense to include various types of diagrams that indicate either the relative degrees of similarities or the lines of descent, as well as the traditional Linnean classification (32). For example, DuPraw (12) referred to his bivariate scatter diagrams (based upon canonical variate analysis) as being a form of "non-Linnean classification." The prese...