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ICPR
2002
IEEE
14 years 6 months ago
Graph of Neural Networks for Pattern Recognition
This paper presents a new architecture of neural networks designed for pattern recognition. The concept of induction graphs coupled with a divide-and-conquer strategy defines a Gr...
Hubert Cardot, Olivier Lezoray
ESWA
2008
124views more  ESWA 2008»
13 years 5 months ago
A hybrid financial analysis model for business failure prediction
Accounting frauds have continuously happened all over the world. This leads to the need of predicting business failures. Statistical methods and machine learning techniques have b...
Shi-Ming Huang, Chih-Fong Tsai, David C. Yen, Yin-...
MEDINFO
2007
132views Healthcare» more  MEDINFO 2007»
13 years 7 months ago
Comparing Decision Support Methodologies for Identifying Asthma Exacerbations
Objective: To apply and compare common machine learning techniques with an expert-built Bayesian Network to determine eligibility for asthma guidelines in pediatric emergency depa...
Judith W. Dexheimer, Laura E. Brown, Jeffrey Leego...
TSP
2010
13 years 13 days ago
Multichannel fast QR-decomposition algorithms: weight extraction method and its applications
Abstract--Multichannel fast QR decomposition RLS (MCFQRD-RLS) algorithms are well known for their good numerical properties and low computational complexity. The main limitation is...
Mobien Shoaib, Stefan Werner, José Antonio ...
IJON
2007
90views more  IJON 2007»
13 years 5 months ago
Storage of auditory temporal patterns in the songbird telencephalon
A quantitative model of auditory learning is presented to predict how auditory patterns are stored in the songbird auditory forebrain. This research focuses on the caudomedial nid...
Patrick D. Roberts, Roberto A. Santiago, Tarciso V...