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SIGIR
2008
ACM
15 years 7 months ago
Modeling expert finding as an absorbing random walk
We introduce a novel approach to expert finding based on multi-step relevance propagation from documents to related candidates. Relevance propagation is modeled with an absorbing ...
Pavel Serdyukov, Henning Rode, Djoerd Hiemstra
BNCOD
2009
125views Database» more  BNCOD 2009»
15 years 5 months ago
The Adaptation Model of a Runtime Adaptable DBMS
Nowadays maintenance of database management systems (DBMSs) often requires offline operations for enhancement of functionality or security updates. This hampers the availability of...
Florian Irmert, Thomas Fischer, Frank Lauterwald, ...
INTERSPEECH
2010
15 years 2 months ago
Semi-supervised training of Gaussian mixture models by conditional entropy minimization
In this paper, we propose a new semi-supervised training method for Gaussian Mixture Models. We add a conditional entropy minimizer to the maximum mutual information criteria, whi...
Jui-Ting Huang, Mark Hasegawa-Johnson
KDD
2001
ACM
253views Data Mining» more  KDD 2001»
16 years 7 months ago
GESS: a scalable similarity-join algorithm for mining large data sets in high dimensional spaces
The similarity join is an important operation for mining high-dimensional feature spaces. Given two data sets, the similarity join computes all tuples (x, y) that are within a dis...
Jens-Peter Dittrich, Bernhard Seeger
ICDT
1999
ACM
82views Database» more  ICDT 1999»
15 years 11 months ago
The Data Warehouse of Newsgroups
Electronic newsgroups are one of the primary means for the dissemination, exchange and sharing of information. We argue that the current newsgroup model is unsatisfactory, especial...
Himanshu Gupta, Divesh Srivastava