Kernel methods are effective approaches to the modeling of structured objects in learning algorithms. Their major drawback is the typically high computational complexity of kernel ...
Fabio Aiolli, Giovanni Da San Martino, Alessandro ...
Designing and testing distributed applications is still a difficult task that requires in-depth knowledge about networking issues. Eclipse is, among other things, a powerful and w...
Jan S. Rellermeyer, Gustavo Alonso, Timothy Roscoe
Due to the inherent complexity of building highly-interactive and personalized web applications, the development of a web-based travel advisory system can be a costly and timecons...
Dietmar Jannach, Markus Zanker, Markus Jessenitsch...
The vast majority of research on AI planning has focused on automated plan recognition, in which a planning agent is provided with a set of inputs that include an initial goal (or ...
Providing robust decision support for software engineering (SE) requires the collection of data across multiple contexts so that one can begin to elicit the context variables that...
Daniela Cruzes, Victor R. Basili, Forrest Shull, M...