1722 search results - page 95 / 345 » On the sample mean of graphs |
200
click to vote
CVPR
2009
IEEE
17 years 1 months ago
2009
IEEE
Graph-based methods form a main category of semisupervised
learning, offering flexibility and easy implementation
in many applications. However, the performance of
these methods...
150
click to vote
WWW
2009
ACM
16 years 7 months ago
2009
ACM
In this paper we consider the problem of re-ranking search results by incorporating user feedback. We present a graph theoretic measure for discriminating irrelevant results from ...
163
click to vote
CAAN
2004
Springer
15 years 11 months ago
2004
Springer
It appeared recently that the classical random graph model used to represent real-world complex networks does not capture their main properties. Since then, various attempts have ...
160
click to vote
SIGMOD
2010
ACM
15 years 11 months ago
2010
ACM
Our world today is generating huge amounts of graph data such as social networks, biological networks, and the semantic web. Many of these real-world graphs are edge-labeled graph...
164
click to vote
CIKM
2009
Springer
16 years 26 days ago
2009
Springer
We consider the problem of releasing a limited public view of a sensitive graph which reveals at least k edges per node. We are motivated by Facebook’s public search listings, w...