We consider a setting for discriminative semisupervised learning where unlabeled data are used with a generative model to learn effective feature representations for discriminativ...
We present an application of the analytical inductive programming system Igor to learning sets of recursive rules from positive experience. We propose that this approach can be us...
Background: Remote homology detection is a hard computational problem. Most approaches have trained computational models by using either full protein sequences or multiple sequenc...
Juliana S. Bernardes, Alessandra Carbone, Gerson Z...
Declarative models play an important role in most software design activities, by allowing designs to be constructed that selectively abstract over complex implementation details. ...
Paulo Pinheiro da Silva, Tony Griffiths, Norman W....
We propose two methods for constructing automated programs for extraction of information from a class of web pages that are very common and of high practical significance - varia...