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» Bootstrap for neural model selection
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ESANN
2000
13 years 11 months ago
Committee formation for reliable and accurate neural prediction in industry
Abstract. This paper describes "cranking", a new committee formation algorithm. Cranking results in accurate and reliable committee predictions, even when applied to comp...
Peter J. Edwards, Alan F. Murray
DSS
2008
91views more  DSS 2008»
13 years 10 months ago
Modeling consumer situational choice of long distance communication with neural networks
This study shows how artificial neural networks can be used to model consumer choice. Our study focuses on two key issues in neural network modeling
Michael Y. Hu, Murali S. Shanker, G. Peter Zhang, ...
ICASSP
2011
IEEE
13 years 1 months ago
Cross-language bootstrapping based on completely unsupervised training using multilingual A-stabil
This paper presents our work on rapid language adaptation of acoustic models based on multilingual cross-language bootstrapping and unsupervised training. We used Automatic Speech...
Ngoc Thang Vu, Franziska Kraus, Tanja Schultz
ISNN
2005
Springer
14 years 3 months ago
Feature Selection and Intrusion Detection Using Hybrid Flexible Neural Tree
Current Intrusion Detection Systems (IDS) examine all data features to detect intrusion or misuse patterns. Some of the features may be redundant or contribute little (if anything)...
Yuehui Chen, Ajith Abraham, Ju Yang
BIOINFORMATICS
2005
109views more  BIOINFORMATICS 2005»
13 years 9 months ago
Prediction error estimation: a comparison of resampling methods
In genomic studies, thousands of features are collected on relatively few samples. One of the goals of these studies is to build classifiers to predict the outcome of future obser...
Annette M. Molinaro, Richard Simon, Ruth M. Pfeiff...