-- We encounter optimization problems in our daily lives and in various research domains. Some of them are so hard that we can, at best, approximate the best solutions with (meta-)...
Bayesian network classifiers have been widely used for classification problems. Given a fixed Bayesian network structure, parameters learning can take two different approaches: ge...
Jiang Su, Harry Zhang, Charles X. Ling, Stan Matwi...
Over the last few decades, the discipline of Web Accessibility has been focused on building more efficient and more effective speech generators for Web Browsers. The visual browse...
The paper presents our design of a next generation information retrieval system based on tag co-occurrences and subsequent clustering. We help users getting access to digital data...
Kathrin Knautz, Simone Soubusta, Wolfgang G. Stock
More and more personal data is exposed to automatic and programmatic access, making it more difficult to safeguard the personal information from unauthorised access at every step. ...