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» General Partitioning on Random Graphs
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108
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EJC
2008
15 years 17 days ago
Grad and classes with bounded expansion II. Algorithmic aspects
Abstract. Classes of graphs with bounded expansion are a generalization of both proper minor closed classes and degree bounded classes. Such classes are based on a new invariant, t...
Jaroslav Nesetril, Patrice Ossona de Mendez
115
Voted
KDD
2010
ACM
252views Data Mining» more  KDD 2010»
15 years 4 months ago
Fast query execution for retrieval models based on path-constrained random walks
Many recommendation and retrieval tasks can be represented as proximity queries on a labeled directed graph, with typed nodes representing documents, terms, and metadata, and labe...
Ni Lao, William W. Cohen
MOBICOM
2003
ACM
15 years 5 months ago
Throughput capacity of random ad hoc networks with infrastructure support
In this paper, we consider the transport capacity of ad hoc networks with a random flat topology under the present support of an infinite capacity infrastructure network. Such a...
Ulas C. Kozat, Leandros Tassiulas
94
Voted
ICDM
2003
IEEE
158views Data Mining» more  ICDM 2003»
15 years 5 months ago
Combining Multiple Weak Clusterings
A data set can be clustered in many ways depending on the clustering algorithm employed, parameter settings used and other factors. Can multiple clusterings be combined so that th...
Alexander P. Topchy, Anil K. Jain, William F. Punc...
KDD
2010
ACM
274views Data Mining» more  KDD 2010»
15 years 4 months ago
Grafting-light: fast, incremental feature selection and structure learning of Markov random fields
Feature selection is an important task in order to achieve better generalizability in high dimensional learning, and structure learning of Markov random fields (MRFs) can automat...
Jun Zhu, Ni Lao, Eric P. Xing