Sciweavers

8 search results - page 1 / 2
» Online Prediction on Large Diameter Graphs
Sort
View
NIPS
2008
13 years 6 months ago
Online Prediction on Large Diameter Graphs
We continue our study of online prediction of the labelling of a graph. We show a fundamental limitation of Laplacian-based algorithms: if the graph has a large diameter then the ...
Mark Herbster, Guy Lever, Massimiliano Pontil
GD
2007
Springer
13 years 11 months ago
Visualizing Internet Evolution on the Autonomous Systems Level
We propose a visualization approach for large dynamic graph structures with high degree variation and low diameter. In particular, we reduce visual complexity by multiple modes of ...
Krists Boitmanis, Ulrik Brandes, Christian Pich
BMCBI
2007
127views more  BMCBI 2007»
13 years 5 months ago
Characterization of protein-interaction networks in tumors
Background: Analyzing differential-gene-expression data in the context of protein-interaction networks (PINs) yields information on the functional cellular status. PINs can be for...
Alexander Platzer, Paul Perco, Arno Lukas, Bernd M...
STOC
1997
ACM
97views Algorithms» more  STOC 1997»
13 years 9 months ago
Using and Combining Predictors That Specialize
Abstract. We study online learning algorithms that predict by combining the predictions of several subordinate prediction algorithms, sometimes called “experts.” These simple a...
Yoav Freund, Robert E. Schapire, Yoram Singer, Man...
PODC
2010
ACM
13 years 7 months ago
Brief announcement: revisiting the power-law degree distribution for social graph analysis
The study of complex networks led to the belief that the connectivity of network nodes generally follows a Power-law distribution. In this work, we show that modeling large-scale ...
Alessandra Sala, Haitao Zheng, Ben Y. Zhao, Sabrin...