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» Measuring the Similarity of Labeled Graphs
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SIGIR
2006
ACM
14 years 3 months ago
Contextual search and name disambiguation in email using graphs
Similarity measures for text have historically been an important tool for solving information retrieval problems. In many interesting settings, however, documents are often closel...
Einat Minkov, William W. Cohen, Andrew Y. Ng
WWW
2009
ACM
14 years 10 months ago
Fast dynamic reranking in large graphs
In this paper we consider the problem of re-ranking search results by incorporating user feedback. We present a graph theoretic measure for discriminating irrelevant results from ...
Purnamrita Sarkar, Andrew W. Moore
ICCV
2003
IEEE
14 years 11 months ago
Minimally-Supervised Classification using Multiple Observation Sets
This paper discusses building complex classifiers from a single labeled example and vast number of unlabeled observation sets, each derived from observation of a single process or...
Chris Stauffer
KDD
2010
ACM
252views Data Mining» more  KDD 2010»
14 years 1 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
JMLR
2006
108views more  JMLR 2006»
13 years 9 months ago
Learning Spectral Clustering, With Application To Speech Separation
Spectral clustering refers to a class of techniques which rely on the eigenstructure of a similarity matrix to partition points into disjoint clusters, with points in the same clu...
Francis R. Bach, Michael I. Jordan