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» On Kernel Methods for Relational Learning
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NIPS
2004
14 years 11 months ago
Supervised Graph Inference
We formulate the problem of graph inference where part of the graph is known as a supervised learning problem, and propose an algorithm to solve it. The method involves the learni...
Jean-Philippe Vert, Yoshihiro Yamanishi
CVPR
2008
IEEE
15 years 12 months ago
Parameterized Kernel Principal Component Analysis: Theory and applications to supervised and unsupervised image alignment
Parameterized Appearance Models (PAMs) (e.g. eigentracking, active appearance models, morphable models) use Principal Component Analysis (PCA) to model the shape and appearance of...
Fernando De la Torre, Minh Hoai Nguyen
WSOM
2009
Springer
15 years 4 months ago
Towards Semi-supervised Manifold Learning: UKR with Structural Hints
We explore generic mechanisms to introduce structural hints into the method of Unsupervised Kernel Regression (UKR) in order to learn representations of data sequences in a semi-su...
Jan Steffen, Stefan Klanke, Sethu Vijayakumar, Hel...
ACL
2007
14 years 11 months ago
Detecting Semantic Relations between Named Entities in Text Using Contextual Features
This paper proposes a supervised learning method for detecting a semantic relation between a given pair of named entities, which may be located in different sentences. The method ...
Toru Hirano, Yoshihiro Matsuo, Gen-ichiro Kikui
COLING
2010
14 years 4 months ago
Exploiting Background Knowledge for Relation Extraction
Relation extraction is the task of recognizing semantic relations among entities. Given a particular sentence supervised approaches to Relation Extraction employed feature or kern...
Yee Seng Chan, Dan Roth