95 search results - page 5 / 19 » Learning Textual Entailment on a Distance Feature Space |
ICPR
2010
IEEE
14 years 2 months ago
2010
IEEE
This paper introduces a semi-supervised distance metric learning algorithm which uses pair-wise equivalence (similarity and dissimilarity) constraints to improve the original dist...
COLING
2010
13 years 2 months ago
2010
In this paper, we propose a review selection approach towards accurate estimation of feature ratings for services on participatory websites where users write textual reviews for t...
SDM
2007
SIAM
13 years 8 months ago
2007
SIAM
Manifold learning is an effective methodology for extracting nonlinear structures from high-dimensional data with many applications in image analysis, computer vision, text data a...
WWW
2003
ACM
14 years 8 months ago
2003
ACM
Features of a quality learning resource collection are discussed and some measures that may be helpful for collection maintenance and update are proposed. Keywords Distance educat...
KDD
2007
ACM
14 years 7 months ago
2007
ACM
A good distance metric is crucial for many data mining tasks. To learn a metric in the unsupervised setting, most metric learning algorithms project observed data to a lowdimensio...