We present SECONDO, a new generic environment supporting the implementation of database systems for a wide range of data models and query languages. On the one hand, this framewor...
Calculation of object similarity, for example through a distance function, is a common part of data mining and machine learning algorithms. This calculation is crucial for efficie...
Large scale software is composed of libraries produced by different entities. Non-intrusive and efficient mechanisms for adapting data structures from one library to conform to AP...
We present a general approach to model selection and regularization that exploits unlabeled data to adaptively control hypothesis complexity in supervised learning tasks. The idea ...
Background: Designing appropriate machine learning methods for identifying genes that have a significant discriminating power for disease outcomes has become more and more importa...