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» Constructive Neural Network Learning Algorithms
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CORR
2011
Springer
200views Education» more  CORR 2011»
14 years 9 months ago
Using Feature Weights to Improve Performance of Neural Networks
Different features have different relevance to a particular learning problem. Some features are less relevant; while some very important. Instead of selecting the most relevant fe...
Ridwan Al Iqbal
CVPR
2010
IEEE
15 years 10 months ago
Learning from Interpolated Images using Neural Networks for Digital Forensics
Interpolated images have data redundancy, and special correlation exists among neighboring pixels, which is a crucial clue in digital forensics. We design a neural network based f...
Yizhen Huang, Na Fan
ICMCS
2006
IEEE
139views Multimedia» more  ICMCS 2006»
15 years 8 months ago
A Neural Network Based Adaptive Algorithm for Multimedia Quality Fairness in WLAN Environments
This paper investigates multimedia quality fairness in wireless LAN environments where channel are error-prone due to mobility and fading. The experimental results show that using...
Chiapin Wang, Tsungnan Lin
IJCNN
2008
IEEE
15 years 8 months ago
Numerical condition of feedforward networks with opposite transfer functions
— Numerical condition affects the learning speed and accuracy of most artificial neural network learning algorithms. In this paper, we examine the influence of opposite transfe...
Mario Ventresca, Hamid R. Tizhoosh
ICANN
2003
Springer
15 years 7 months ago
Confidence Estimation Using the Incremental Learning Algorithm, Learn++
Pattern recognition problems span a broad range of applications, where each application has its own tolerance on classification error. The varying levels of risk associated with ma...
Jeffrey Byorick, Robi Polikar