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» Convergence of a Neural Network Classifier
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DAS
2006
Springer
13 years 9 months ago
Extraction and Analysis of Document Examiner Features from Vector Skeletons of Grapheme 'th'
Abstract. This paper presents a study of 25 structural features extracted from samples of grapheme `th' that correspond to features commonly used by forensic document examiner...
Vladimir Pervouchine, Graham Leedham
IPCV
2008
13 years 9 months ago
Neonatal Facial Pain Detection Using NNSOA and LSVM
- We report classification experiments using the pilot Infant COPE database of neonatal facial expressions. Two sets of DCT coeffiecents were used to train a neural network simulta...
Sheryl Brahnam, Loris Nanni, Randall S. Sexton
ISMB
1993
13 years 9 months ago
Protein Structure Prediction: Selecting Salient Features from Large Candidate Pools
Weintroduce a parallel approach, "DT-SELECT," for selecting features used by inductive learning algorithms to predict protein secondary structure. DT-SELECTis able to ra...
Kevin J. Cherkauer, Jude W. Shavlik
CIBCB
2009
IEEE
13 years 9 months ago
Application of machine learning approaches on quantitative structure activity relationships
Machine Learning techniques are successfully applied to establish quantitative relations between chemical structure and biological activity (QSAR), i.e. classify compounds as activ...
Mariusz Butkiewicz, Ralf Mueller, Danilo Selic, Er...
FSS
2008
147views more  FSS 2008»
13 years 7 months ago
A general framework for fuzzy morphological associative memories
Fuzzy associative memories (FAMs) can be used as a powerful tool for implementing fuzzy rule-based systems. The insight that FAMs are closely related to mathematical morphology (M...
Marcos Eduardo Valle, Peter Sussner