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LREC
2010
213views Education» more  LREC 2010»
13 years 10 months ago
Active Learning and Crowd-Sourcing for Machine Translation
In recent years, corpus based approaches to machine translation have become predominant, with Statistical Machine Translation (SMT) being the most actively progressing area. Succe...
Vamshi Ambati, Stephan Vogel, Jaime G. Carbonell
ICML
2010
IEEE
13 years 10 months ago
Learning Markov Logic Networks Using Structural Motifs
Markov logic networks (MLNs) use firstorder formulas to define features of Markov networks. Current MLN structure learners can only learn short clauses (4-5 literals) due to extre...
Stanley Kok, Pedro Domingos
ADMA
2009
Springer
246views Data Mining» more  ADMA 2009»
14 years 3 months ago
Semi Supervised Image Spam Hunter: A Regularized Discriminant EM Approach
Image spam is a new trend in the family of email spams. The new image spams employ a variety of image processing technologies to create random noises. In this paper, we propose a s...
Yan Gao, Ming Yang, Alok N. Choudhary
ECML
2005
Springer
14 years 2 months ago
Error-Sensitive Grading for Model Combination
Abstract. Ensemble learning is a powerful learning approach that combines multiple classifiers to improve prediction accuracy. An important decision while using an ensemble of cla...
Surendra K. Singhi, Huan Liu
IFIP3
1998
106views Education» more  IFIP3 1998»
13 years 10 months ago
Conception and Realization of the Offline Navigator in the Virtual University
The concept of the Virtual University offers a new learning environment for distance education. All the functionalities of a conventional university are available to the students ...
Thomas Demuth, Andreas Rieke, Dagmar Sommer