At present, the object categorisation literature is still dominated by the use of individual class detectors. Detecting multiple classes then implies the subsequent application of...
Esther Koller-Meier, Luc J. Van Gool, Philipp Zehn...
We describe a new method for learning the conditional probability distribution of a binary-valued variable from labelled training examples. Our proposed Compositional Noisy-Logica...
XML data warehouses form an interesting basis for decisionsupport applications that exploit heterogeneous data from multiple sources. However, XML-native database systems currentl...
The Learnable Evolution Model (LEM) involves alternating periods of optimization and learning, performa extremely well on a range of problems, a specialises in achieveing good resu...
d abstract) Marcin Jurdzi´nski and Ranko Lazi´c∗ Department of Computer Science, University of Warwick, UK An alternation-free modal µ-calculus over data trees is introduced ...