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» Small world models for social network algorithms testing
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ICRA
2008
IEEE
166views Robotics» more  ICRA 2008»
14 years 3 months ago
NIMS-AQ: A novel system for autonomous sensing of aquatic environments
— Over the last few years, the complexity of aquatic sensing applications has increased as a result of demands for: higher spatial coverage with high resolution monitoring, under...
Michael J. Stealey, Amarjeet Singh 0003, Maxim A. ...
CIKM
2009
Springer
14 years 3 months ago
Fast shortest path distance estimation in large networks
In this paper we study approximate landmark-based methods for point-to-point distance estimation in very large networks. These methods involve selecting a subset of nodes as landm...
Michalis Potamias, Francesco Bonchi, Carlos Castil...
SDM
2010
SIAM
183views Data Mining» more  SDM 2010»
13 years 10 months ago
GraSS: Graph Structure Summarization
Large graph databases are commonly collected and analyzed in numerous domains. For reasons related to either space efficiency or for privacy protection (e.g., in the case of socia...
Kristen LeFevre, Evimaria Terzi
IJPRAI
2002
93views more  IJPRAI 2002»
13 years 8 months ago
Improving Stability of Decision Trees
Decision-tree algorithms are known to be unstable: small variations in the training set can result in different trees and different predictions for the same validation examples. B...
Mark Last, Oded Maimon, Einat Minkov
FOCS
2008
IEEE
14 years 3 months ago
Mixing Time of Exponential Random Graphs
A plethora of random graph models have been developed in recent years to study a range of problems on networks, driven by the wide availability of data from many social, telecommu...
Shankar Bhamidi, Guy Bresler, Allan Sly