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CIKM
2009
Springer
14 years 27 days ago
Improving binary classification on text problems using differential word features
We describe an efficient technique to weigh word-based features in binary classification tasks and show that it significantly improves classification accuracy on a range of proble...
Justin Martineau, Tim Finin, Anupam Joshi, Shamit ...
HIPS
1998
IEEE
14 years 1 months ago
Further Results for Improving Loop Interchange in Non-Adjacent and Imperfectly Nested Loops
Loop interchange is a powerful restructuring technique for supporting vectorization and parallelization. In this paper, we propose a technique which is better to determine whether...
Tsung-Chuan Huang, Cheng-Ming Yang
COLT
2008
Springer
13 years 10 months ago
How Local Should a Learning Method Be?
We consider the question of why modern machine learning methods like support vector machines outperform earlier nonparametric techniques like kNN. Our approach investigates the lo...
Alon Zakai, Yaacov Ritov
INTERSPEECH
2010
13 years 3 months ago
Improved language recognition using mixture components statistics
One successful approach to language recognition is to focus on the most discriminative high level features of languages, such as phones and words. In this paper, we applied a simi...
Abualsoud Hanani, Michael J. Carey 0002, Martin J....
ICDM
2005
IEEE
179views Data Mining» more  ICDM 2005»
14 years 2 months ago
Bagging with Adaptive Costs
Ensemble methods have proved to be highly effective in improving the performance of base learners under most circumstances. In this paper, we propose a new algorithm that combine...
Yi Zhang, W. Nick Street