2512 search results - page 163 / 503 » Learning from Highly Structured Data by Decomposition |
90
Voted
KDD
2008
ACM
15 years 10 months ago
2008
ACM
Not only is Wikipedia a comprehensive source of quality information, it has several kinds of internal structure (e.g., relational summaries known as infoboxes), which enable self-...
ICML
1997
IEEE
15 years 11 months ago
1997
IEEE
Abstract: We investigate the structure of model selection problems via the bias/variance decomposition. In particular, we characterize the essential structure of a model selection ...
ISNN
2007
Springer
15 years 4 months ago
2007
Springer
Manifold learning algorithms have been proven to be capable of discovering some nonlinear structures. However, it is hard for them to extend to test set directly. In this paper, a ...
72
Voted
AAAI
2000
14 years 11 months ago
2000
Self-organizing models develop realistic cortical structures when given approximations of the visual environment as input, and are an effective way to model the development of fac...
UAI
2008
14 years 11 months ago
2008
Chordal graphs can be used to encode dependency models that are representable by both directed acyclic and undirected graphs. This paper discusses a very simple and efficient algo...