Statistical query (SQ) learning model of Kearns is a natural restriction of the PAC learning model in which a learning algorithm is allowed to obtain estimates of statistical prop...
This paper presents part of a new DIA performance analysis framework aimed at Layout Analysis algorithm developers. A new region-representation scheme (an interval-based descripti...
Winner-Takes-All (WTA) prescriptions for Learning Vector Quantization (LVQ) are studied in the framework of a model situation: Two competing prototype vectors are updated accordin...
There are many innovative proposals introduced in the literature under the evolutionary computation field, from which estimation of distribution algorithms (EDAs) is one of them....
Alexander Mendiburu, Roberto Santana, Jose Antonio...
Automated methods for resource annotation are a clear necessity, as the success of the Semantic Web depends on the availability of Web resources with meta-data conforming to known...