1419 search results - page 115 / 284 » Approximation Methods for Supervised Learning |
82
Voted
AAAI
2008
15 years 2 months ago
2008
We propose a novel method for approximate inference in Bayesian networks (BNs). The idea is to sample data from a BN, learn a latent tree model (LTM) from the data offline, and wh...
97
Voted
IJCNN
2007
IEEE
15 years 6 months ago
2007
IEEE
— Category Ranking is a variant of the multi-label classification problem, in which, rather than performing a (hard) assignment to an object of categories from a predefined set...
99
Voted
ACL
2007
15 years 2 months ago
2007
A minimally supervised machine learning framework is described for extracting relations of various complexity. Bootstrapping starts from a small set of n-ary relation instances as...
86
Voted
EMNLP
2007
15 years 2 months ago
2007
It has been widely observed that different NLP applications require different sense granularities in order to best exploit word sense distinctions, and that for many applications ...
105
Voted
SEMWEB
2009
Springer
15 years 7 months ago
2009
Springer
Ontology matching plays a key role for semantic interoperability. Many methods have been proposed for automatically finding the alignment between heterogeneous ontologies. However...