Sciweavers

2079 search results - page 141 / 416
» Universality of random graphs
Sort
View
CVPR
2009
IEEE
16 years 12 months ago
Robust Multi-Class Transductive Learning with Graphs
Graph-based methods form a main category of semisupervised learning, offering flexibility and easy implementation in many applications. However, the performance of these methods...
Wei Liu (Columbia University), Shih-fu Chang (Colu...
ACNS
2005
Springer
94views Cryptology» more  ACNS 2005»
15 years 10 months ago
Optimal Asymmetric Encryption and Signature Paddings
Strong security notions often introduce strong constraints on the construction of cryptographic schemes: semantic security implies probabilistic encryption, while the resistance to...
Benoît Chevallier-Mames, Duong Hieu Phan, Da...
AVI
2006
15 years 6 months ago
Just how dense are dense graphs in the real world?: a methodological note
This methodological note focuses on the edge density of real world examples of networks. The edge density is a parameter of interest typically when putting up user studies in an e...
Guy Melançon
AI
2008
Springer
15 years 4 months ago
Conditional independence and chain event graphs
Graphs provide an excellent framework for interrogating symmetric models of measurement random variables and discovering their implied conditional independence structure. However,...
Jim Q. Smith, Paul E. Anderson
JCT
2010
127views more  JCT 2010»
14 years 11 months ago
On the density of a graph and its blowup
It is well-known that, of all graphs with edge-density p, the random graph G(n, p) contains the smallest density of copies of Kt,t, the complete bipartite graph of size 2t. Since ...
Asaf Shapira, Raphael Yuster