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ML
2010
ACM
151views Machine Learning» more  ML 2010»
15 years 10 days ago
Inductive transfer for learning Bayesian networks
In several domains it is common to have data from different, but closely related problems. For instance, in manufacturing, many products follow the same industrial process but with...
Roger Luis, Luis Enrique Sucar, Eduardo F. Morales
SIGIR
2008
ACM
15 years 1 months ago
A study of learning a merge model for multilingual information retrieval
This paper proposes a learning approach for the merging process in multilingual information retrieval (MLIR). To conduct the learning approach, we also present a large number of f...
Ming-Feng Tsai, Yu-Ting Wang, Hsin-Hsi Chen
SIGMOD
2009
ACM
180views Database» more  SIGMOD 2009»
16 years 2 months ago
Indexing correlated probabilistic databases
With large amounts of correlated probabilistic data being generated in a wide range of application domains including sensor networks, information extraction, event detection etc.,...
Bhargav Kanagal, Amol Deshpande
SIGSOFT
2007
ACM
16 years 2 months ago
SLEDE: lightweight verification of sensor network security protocol implementations
Finding flaws in security protocol implementations is hard. Finding flaws in the implementations of sensor network security protocols is even harder because they are designed to p...
Youssef Hanna
MM
2005
ACM
146views Multimedia» more  MM 2005»
15 years 7 months ago
Unsupervised content discovery in composite audio
Automatically extracting semantic content from audio streams can be helpful in many multimedia applications. Motivated by the known limitations of traditional supervised approache...
Rui Cai, Lie Lu, Alan Hanjalic