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» An Experimental Study on Feature Subset Selection Methods
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JMLR
2006
145views more  JMLR 2006»
15 years 4 months ago
Ensemble Pruning Via Semi-definite Programming
An ensemble is a group of learning models that jointly solve a problem. However, the ensembles generated by existing techniques are sometimes unnecessarily large, which can lead t...
Yi Zhang 0006, Samuel Burer, W. Nick Street
INFSOF
2002
147views more  INFSOF 2002»
15 years 3 months ago
On the efficiency of domain-based COTS product selection method
Use of commercial-off-the-shelf (COTS) products is becoming a popular software development method. Current methods of selecting COTS products involve using the intuition of softwa...
Karl R. P. H. Leung, Hareton K. N. Leung
ICTAI
2010
IEEE
15 years 1 months ago
Support Vector Methods for Sentence Level Machine Translation Evaluation
Recent work in the field of machine translation (MT) evaluation suggests that sentence level evaluation based on machine learning (ML) can outperform the standard metrics such as B...
Antoine Veillard, Elvina Melissa, Cassandra Theodo...
MVA
1996
15 years 5 months ago
Inductive Learning of Primitive Shape Features of Closed Contours
A method for inductivelearningof primitive features is proposed. Primitive features are well investigated and they are extracted in bottom-up manner fiom training set of patterns ...
Ichiro Murase, Shun'ichi Kaneko, Satoru Igarashi
CVPR
2012
IEEE
13 years 6 months ago
Beyond spatial pyramids: Receptive field learning for pooled image features
In this paper we examine the effect of receptive field designs on classification accuracy in the commonly adopted pipeline of image classification. While existing algorithms us...
Yangqing Jia, Chang Huang, Trevor Darrell