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» Conditioning Probabilistic Databases
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INTERSPEECH
2010
14 years 6 months ago
Hierarchical bottle neck features for LVCSR
This paper investigates the combination of different neural network topologies for probabilistic feature extraction. On one hand, a five-layer neural network used in bottle neck f...
Christian Plahl, Ralf Schlüter, Hermann Ney
KDD
2002
ACM
127views Data Mining» more  KDD 2002»
15 years 11 months ago
Mining knowledge-sharing sites for viral marketing
Viral marketing takes advantage of networks of influence among customers to inexpensively achieve large changes in behavior. Our research seeks to put it on a firmer footing by mi...
Matthew Richardson, Pedro Domingos
PODS
2004
ACM
148views Database» more  PODS 2004»
15 years 11 months ago
Deterministic Wavelet Thresholding for Maximum-Error Metrics
Several studies have demonstrated the effectiveness of the wavelet decomposition as a tool for reducing large amounts of data down to compact wavelet synopses that can be used to ...
Minos N. Garofalakis, Amit Kumar
94
Voted
MLDM
2007
Springer
15 years 5 months ago
Transductive Learning from Relational Data
Transduction is an inference mechanism “from particular to particular”. Its application to classification tasks implies the use of both labeled (training) data and unlabeled (...
Michelangelo Ceci, Annalisa Appice, Nicola Barile,...
ICDE
2011
IEEE
245views Database» more  ICDE 2011»
14 years 2 months ago
Stochastic skyline operator
— In many applications involving the multiple criteria optimal decision making, users may often want to make a personal trade-off among all optimal solutions. As a key feature, t...
Xuemin Lin, Ying Zhang, Wenjie Zhang, Muhammad Aam...