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» On the Use of Evidence in Neural Networks
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AI
2010
Springer
14 years 9 months ago
Robustness of Classifiers to Changing Environments
Abstract. In this paper, we test some of the most commonly used classifiers to identify which ones are the most robust to changing environments. The environment may change over tim...
Houman Abbasian, Chris Drummond, Nathalie Japkowic...
OL
2011
332views Neural Networks» more  OL 2011»
14 years 9 months ago
A robust implementation of a sequential quadratic programming algorithm with successive error restoration
We consider sequential quadratic programming (SQP) methods for solving constrained nonlinear programming problems. It is generally believed that SQP methods are sensitive to the a...
Klaus Schittkowski
ICANN
2011
Springer
14 years 5 months ago
Hybrid Parallel Classifiers for Semantic Subspace Learning
Subspace learning is very important in today's world of information overload. Distinguishing between categories within a subset of a large data repository such as the web and ...
Nandita Tripathi, Michael P. Oakes, Stefan Wermter
ICDAR
2011
IEEE
14 years 1 months ago
A Method for Removing Inflectional Suffixes in Word Spotting of Mongolian Kanjur
Abstract—According to characteristics of Mongolian wordformation, a method for removing inflectional suffixes from word images of the Mongolian Kanjur is proposed in this paper. ...
Hongxi Wei, Guanglai Gao, Yulai Bao
HIS
2008
15 years 3 months ago
A Sequential Learning Resource Allocation Network for Image Processing Applications
Online adaptation is a key requirement for image processing applications when used in dynamic environments. In contrast to batch learning, where retraining is required each time a...
Stefan Wildermann, Jürgen Teich