641 search results - page 27 / 129 » Training Methods for Adaptive Boosting of Neural Networks |
FLAIRS
2004
14 years 11 months ago
2004
Novelty detection in time series is an important problem with application in different domains such as machine failure detection, fraud detection and auditing. An approach to this...
104
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BMCBI
2010
14 years 9 months ago
2010
Background: Obesity is a multifactorial trait, which comprises an independent risk factor for cardiovascular disease (CVD). The aim of the current work is to study the complex eti...
ICDAR
2003
IEEE
15 years 3 months ago
2003
IEEE
Neural networks are a powerful technology for classification of visual inputs arising from documents. However, there is a confusing plethora of different neural network methods th...
103
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ICASSP
2007
IEEE
15 years 4 months ago
2007
IEEE
Many content-based image retrieval applications suffer from small sample set and high dimensionality problems. Relevance feedback is often used to alleviate those problems. In thi...
IJCAI
1997
14 years 11 months ago
1997
Max and min operations have interesting properties that facilitate the exchange of information between the symbolic and real-valued domains. As such, neural networks that employ m...