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ICML
1996
IEEE
14 years 10 months ago
Discretizing Continuous Attributes While Learning Bayesian Networks
We introduce a method for learning Bayesian networks that handles the discretization of continuous variables as an integral part of the learning process. The main ingredient in th...
Moisés Goldszmidt, Nir Friedman
ICC
2007
IEEE
111views Communications» more  ICC 2007»
14 years 4 months ago
SecureRank: A Risk-Based Vulnerability Management Scheme for Computing Infrastructures
— In this paper, we introduce a new scheme called SecureRank for prioritizing vulnerabilities to patch in computing systems/networks. This has become a key issue for IT infrastru...
Reiko Ann Miura-Ko, Nicholas Bambos
WWW
2010
ACM
14 years 5 months ago
Tracking the random surfer: empirically measured teleportation parameters in PageRank
PageRank computes the importance of each node in a directed graph under a random surfer model governed by a teleportation parameter. Commonly denoted alpha, this parameter models ...
David F. Gleich, Paul G. Constantine, Abraham D. F...
ICOIN
2007
Springer
14 years 4 months ago
Inter-Domain Access Volume Model: Ranking Autonomous Systems
Exploring topological structure at Autonomous System (AS) level is indispensable for understanding most issues in Internet services. Previous models of AS graph involve address or ...
Yixuan Wang, Ye Wang, Maoke Chen, Xing Li
WIDM
2005
ACM
14 years 3 months ago
DirectoryRank: ordering pages in web directories
Web Directories are repositories of Web pages organized in a hierarchy of topics and sub-topics. In this paper, we present DirectoryRank, a ranking framework that orders the pages...
Vlassis Krikos, Sofia Stamou, Pavlos Kokosis, Alex...