ISEMANTICS
2010
13 years 9 months ago
2010
The project SESAME uses semantic modeling and reasoning to support home owners and building managers in saving energy and in optimizing their energy costs while maintaining their ...
ISEMANTICS
2010
13 years 9 months ago
2010
We present BibBase, a system for publishing and managing bibliographic data available in BibTeX files. BibBase uses a powerful yet light-weight approach to transform BibTeX files ...
COLING
2008
13 years 9 months ago
2008
This paper proposes an other-anaphora resolution approach in bio-medical texts. It utilizes automatically mined patterns to discover the semantic relation between an anaphor and a...
AIA
2007
13 years 9 months ago
2007
This paper introduces a machine learning approach into the process of direct volume rendering of biomedical highresolution 3D images. More concretely, it proposes a learning pipel...
ACL
2007
13 years 9 months ago
2007
Over the last few years, two of the main research directions in machine learning of natural language processing have been the study of semi-supervised learning algorithms as a way...
ALT
2010
Springer
13 years 9 months ago
2010
Springer
: The ability to distinguish, differentiate and contrast between different data sets is a key objective in data mining. Such ability can assist domain experts to understand their d...
ALT
2010
Springer
13 years 9 months ago
2010
Springer
We further develop the idea that the PAC-Bayes prior can be informed by the data-generating distribution. We prove sharp bounds for an existing framework of Gibbs algorithms, and ...
ALT
2010
Springer
13 years 9 months ago
2010
Springer
Abstract. Iterative learning is a model of language learning from positive data, due to Wiehagen. When compared to a learner in Gold's original model of language learning from...
ALT
2010
Springer
13 years 9 months ago
2010
Springer
We address the problem of constructing randomized online algorithms for the Metrical Task Systems (MTS) problem on a metric against an oblivious adversary. Restricting our attenti...
ALT
2010
Springer
13 years 9 months ago
2010
Springer
We show that random DNF formulas, random log-depth decision trees and random deterministic finite acceptors cannot be weakly learned with a polynomial number of statistical queries...