2100 search results - page 108 / 420 » Learning to rank on graphs |
169
click to vote
EMNLP
2009
15 years 4 months ago
2009
This paper explores two classes of model adaptation methods for Web search ranking: Model Interpolation and error-driven learning approaches based on a boosting algorithm. The res...
155
click to vote
EDBT
2009
ACM
16 years 1 months ago
2009
ACM
The largeness and the heterogeneity of most graph-modeled datasets in several database application areas make the query process a real challenge because of the lack of a complete ...
140
click to vote
KDD
2009
ACM
15 years 11 months ago
2009
ACM
Learning temporal graph structures from time series data reveals important dependency relationships between current observations and histories. Most previous work focuses on learn...
180
click to vote
ICML
2010
IEEE
15 years 7 months ago
2010
IEEE
In this paper, we address the scalability issue plaguing graph-based semi-supervised learning via a small number of anchor points which adequately cover the entire point cloud. Cr...