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» Relative Entropy and Statistics
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119
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KDD
2008
ACM
259views Data Mining» more  KDD 2008»
16 years 1 months ago
Using ghost edges for classification in sparsely labeled networks
We address the problem of classification in partially labeled networks (a.k.a. within-network classification) where observed class labels are sparse. Techniques for statistical re...
Brian Gallagher, Hanghang Tong, Tina Eliassi-Rad, ...
ICDE
2010
IEEE
224views Database» more  ICDE 2010»
16 years 23 days ago
Probabilistic Declarative Information Extraction
Abstract-Unstructured text represents a large fraction of the world's data. It often contain snippets of structured information within them (e.g., people's names and zip ...
Daisy Zhe Wang, Eirinaios Michelakis, Joseph M. He...
GFKL
2006
Springer
78views Data Mining» more  GFKL 2006»
15 years 4 months ago
Putting Successor Variety Stemming to Work
Stemming algorithms find canonical forms for inflected words, e. g. for declined nouns or conjugated verbs. Since such a unification of words with respect to gender, number, time, ...
Benno Stein, Martin Potthast
CICLING
2009
Springer
16 years 1 months ago
Has Computational Linguistics Become More Applied?
Where the field has been and where it is going? It is relatively easy to know where we have been, but harder (and more valuable) to know where we are going. The title of this paper...
Kenneth Ward Church
109
Voted
CORR
2007
Springer
92views Education» more  CORR 2007»
15 years 1 months ago
Revisiting the Issues On Netflow Sample and Export Performance
The high volume of packets and packet rates of traffic on some router links makes it exceedingly difficult for routers to examine every packet in order to keep detailed statistics ...
Hamed Haddadi, Raul Landa, Miguel Rio, Saleem N. B...