67 search results - page 1 / 14 » Cross-training: learning probabilistic mappings between topi... |
KDD
2003
ACM
14 years 8 months ago
2003
ACM
Classification is a well-established operation in text mining. Given a set of labels A and a set DA of training documents tagged with these labels, a classifier learns to assign l...
SEMWEB
2009
Springer
14 years 2 months ago
2009
Springer
In this paper the authors applied the idea of training multiple tasks simultaneously on a partially shared feed forward network to domain of ontology mapping. A “cross trainingâ€...
ICAI
2009
13 years 5 months ago
2009
The authors extended the idea of training multiple tasks simultaneously on a partially shared feed forward network. A shared input subvector was added to represented common inputs...
KDD
2008
ACM
14 years 8 months ago
2008
ACM
We propose a visualization method based on a topic model for discrete data such as documents. Unlike conventional visualization methods based on pairwise distances such as multi-d...
ACL
2010
13 years 5 months ago
2010
This paper establishes a connection between two apparently very different kinds of probabilistic models. Latent Dirichlet Allocation (LDA) models are used as "topic models&qu...