848 search results - page 1 / 170 » Transductive Learning from Relational Data |
MLDM
2007
Springer
13 years 10 months ago
2007
Springer
Transduction is an inference mechanism “from particular to particular”. Its application to classification tasks implies the use of both labeled (training) data and unlabeled (...
IJCNLP
2005
Springer
13 years 10 months ago
2005
Springer
This paper studies the problem of mining relational data hidden in natural language text. In particular, it approaches the relation classification problem with the strategy of tra...
ICDM
2007
IEEE
13 years 11 months ago
2007
IEEE
The problem of transfer learning, where information gained in one learning task is used to improve performance in another related task, is an important new area of research. While...
ICML
2007
IEEE
14 years 5 months ago
2007
IEEE
In this paper, we present a novel semisupervised regression algorithm working on multiclass data that may lie on multiple manifolds. Unlike conventional manifold regression algori...
ICML
2004
IEEE
14 years 5 months ago
2004
IEEE
In kernel methods, an interesting recent development seeks to learn a good kernel from empirical data automatically. In this paper, by regarding the transductive learning of the k...