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JMLR
2006
145views more  JMLR 2006»
13 years 10 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
JODL
2006
116views more  JODL 2006»
13 years 10 months ago
Appearance and functionality of electronic books
We present the results and the lessons learned from two separate and independent studies into the design, development, and evaluation of electronic books for information access: th...
Fabio Crestani, Monica Landoni, Massimo Melucci
FCSC
2007
159views more  FCSC 2007»
13 years 10 months ago
Ranking with uncertain labels and its applications
1 The techniques for image analysis and classi cation generally consider the image sample labels xed and without uncertainties. The rank regression problem is studied in this pape...
Shuicheng Yan, Huan Wang, Jianzhuang Liu, Xiaoou T...
FSS
2007
117views more  FSS 2007»
13 years 10 months ago
Multiple regression with fuzzy data
In this paper, we propose an iterative algorithm for multiple regression with fuzzy variables.While using the standard least-squares criterion as a performance index, we pose the ...
Andrzej Bargiela, Witold Pedrycz, Tomoharu Nakashi...
NN
2006
Springer
141views Neural Networks» more  NN 2006»
13 years 10 months ago
Encoding uncertainty in the hippocampus
The medial temporal lobe may play a critical role in binding successive events into memory while encoding contextual information in implicit and explicit memory tasks. Information...
Lee M. Harrison, Andrew Duggins, Karl J. Friston
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