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EMNLP
2008
15 years 5 months ago
Learning to Predict Code-Switching Points
Predicting possible code-switching points can help develop more accurate methods for automatically processing mixed-language text, such as multilingual language models for speech ...
Thamar Solorio, Yang Liu
153
Voted
ECCV
2010
Springer
15 years 5 months ago
Object of Interest Detection by Saliency Learning
In this paper, we present a method for object of interest detection. This method is statistical in nature and hinges in a model which combines salient features using a mixture of l...
152
Voted
ALMOB
2008
69views more  ALMOB 2008»
15 years 4 months ago
Learning from positive examples when the negative class is undetermined- microRNA gene identification
Background: The application of machine learning to classification problems that depend only on positive examples is gaining attention in the computational biology community. We an...
Malik Yousef, Segun Jung, Louise C. Showe, Michael...
ICDM
2008
IEEE
92views Data Mining» more  ICDM 2008»
15 years 10 months ago
A Shrinkage Approach for Modeling Non-stationary Relational Autocorrelation
Recent research has shown that collective classification in relational data often exhibit significant performance gains over conventional approaches that classify instances indi...
Pelin Angin, Jennifer Neville
AWIC
2003
Springer
15 years 9 months ago
Web Page Classification: A Soft Computing Approach
The Internet makes it possible to share and manipulate a vast quantity of information efficiently and effectively, but the rapid and chaotic growth experienced by the Net has gener...
Angela Ribeiro, Víctor Fresno, Maria C. Gar...