Abstract. Multiple-instance learning (MIL) allows for training classifiers from ambiguously labeled data. In computer vision, this learning paradigm has been recently used in many ...
Background: The amount of information stemming from proteomics experiments involving (multi dimensional) separation techniques, mass spectrometric analysis, and computational anal...
Emerging architectures such as partially reconfigurable FPGAs provide a huge potential for adaptivity in the area of embedded systems. Since many system functions are only execute...
in ontology is quite abstract and often based on toy-examples to the point that the gap between the work of theoreticians and the needs of real applications is too wide to be cross...
Abstract Clustering text data streams is an important issue in data mining community and has a number of applications such as news group filtering, text crawling, document organiza...