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» Finding Similar Failures Using Callstack Similarity
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140
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ADBIS
2009
Springer
162views Database» more  ADBIS 2009»
15 years 7 months ago
Efficient Set Similarity Joins Using Min-prefixes
Identification of all objects in a dataset whose similarity is not less than a specified threshold is of major importance for management, search, and analysis of data. Set similari...
Leonardo Ribeiro, Theo Härder
147
Voted
CDC
2010
IEEE
148views Control Systems» more  CDC 2010»
14 years 10 months ago
Convergence rates of consensus algorithms in stochastic networks
Abstract-- We study the convergence rate of average consensus algorithms in networks with stochastic communication failures. We show how the system dynamics can be modeled by a dis...
Stacy Patterson, Bassam Bamieh
112
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COLING
2008
15 years 5 months ago
Using Web-Search Results to Measure Word-Group Similarity
Semantic relatedness between words is important to many NLP tasks, and numerous measures exist which use a variety of resources. Thus far, such work is confined to measuring simil...
Ann Gledson, John Keane
155
Voted
LREC
2008
125views Education» more  LREC 2008»
15 years 5 months ago
Similar Term Discovery using Web Search
We present an approach to the discovery of semantically similar terms that utilizes a web search engine as both a source for generating related terms and a tool for estimating the...
Peter G. Anick, Vijay Murthi, Shaji Sebastian
118
Voted
ACL
2008
15 years 5 months ago
Solving Relational Similarity Problems Using the Web as a Corpus
We present a simple linguistically-motivated method for characterizing the semantic relations that hold between two nouns. The approach leverages the vast size of the Web in order...
Preslav Nakov, Marti A. Hearst