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» A Study of Empirical Learning for an Involved Problem
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AI
2002
Springer
13 years 6 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»
13 years 6 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
13 years 5 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
NECO
2011
13 years 1 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»
13 years 8 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