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» A Study of Empirical Learning for an Involved Problem
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AI
2002
Springer
14 years 9 months ago
Ensembling neural networks: Many could be better than all
Neural network ensemble is a learning paradigm where many neural networks are jointly used to solve a problem. In this paper, the relationship between the ensemble and its compone...
Zhi-Hua Zhou, Jianxin Wu, Wei Tang
APIN
1998
132views more  APIN 1998»
14 years 9 months ago
Evolution-Based Methods for Selecting Point Data for Object Localization: Applications to Computer-Assisted Surgery
Object localization has applications in many areas of engineering and science. The goal is to spatially locate an arbitrarily-shaped object. In many applications, it is desirable ...
Shumeet Baluja, David Simon
SIGIR
2010
ACM
14 years 7 months ago
EUSUM: extracting easy-to-understand english summaries for non-native readers
In this paper we investigate a novel and important problem in multi-document summarization, i.e., how to extract an easy-tounderstand English summary for non-native readers. Exist...
Xiaojun Wan, Huiying Li, Jianguo Xiao
105
Voted
NECO
2011
14 years 4 months ago
Least Squares Estimation Without Priors or Supervision
Selection of an optimal estimator typically relies on either supervised training samples (pairs of measurements and their associated true values), or a prior probability model for...
Martin Raphan, Eero P. Simoncelli
ACE
2004
182views Education» more  ACE 2004»
14 years 11 months ago
Facilitating Successful Online Computing Courses While Minimising Extra Tutor Workload
A key problem in facilitating a successful online course is the highly time -consuming nature of the administrative and pedagogical tasks involved. It is also difficult to achieve...
Stuart Young, Mae McSporran