Sciweavers

89
Voted
ISEMANTICS
2010
15 years 11 days ago
SESAME demonstrator: ontologies, services and policies for energy efficiency
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 ...
Slobodanka Tomic, Anna Fensel, Tassilo Pellegrini
71
Voted
ISEMANTICS
2010
15 years 11 days ago
BibBase triplified
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 ...
Oktie Hassanzadeh, Reynold Xin, Christian Fritz, Y...
79
Voted
COLING
2008
15 years 11 days ago
Other-Anaphora Resolution in Biomedical Texts with Automatically Mined Patterns
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...
Bin Chen, Xiaofeng Yang, Jian Su, Chew Lim Tan
AIA
2007
15 years 11 days ago
Classification of biomedical high-resolution micro-CT images for direct volume rendering
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...
Maite López-Sánchez, Jesús Ce...
94
Voted
ACL
2007
15 years 11 days ago
Guiding Semi-Supervision with Constraint-Driven Learning
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...
Ming-Wei Chang, Lev-Arie Ratinov, Dan Roth
91
Voted
ALT
2010
Springer
15 years 14 days ago
Contrast Pattern Mining and Its Application for Building Robust Classifiers
: 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...
Kotagiri Ramamohanarao
71
Voted
ALT
2010
Springer
15 years 14 days ago
Distribution-Dependent PAC-Bayes Priors
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 ...
Guy Lever, François Laviolette, John Shawe-...
86
Voted
ALT
2010
Springer
15 years 14 days ago
Learning without Coding
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...
Samuel E. Moelius, Sandra Zilles
82
Voted
ALT
2010
Springer
15 years 14 days ago
A Regularization Approach to Metrical Task Systems
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...
Jacob Abernethy, Peter L. Bartlett, Niv Buchbinder...
86
Voted
ALT
2010
Springer
15 years 14 days ago
Lower Bounds on Learning Random Structures with Statistical Queries
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...
Dana Angluin, David Eisenstat, Leonid Kontorovich,...