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ACSC
2008
IEEE
14 years 11 months ago
An investigation of the state formation and transition limitations for prediction problems in recurrent neural networks
Recurrent neural networks are able to store information about previous as well as current inputs. This "memory" allows them to solve temporal problems such as language r...
Angel Kennedy, Cara MacNish
IJCNN
2007
IEEE
15 years 4 months ago
A Hardware-friendly Support Vector Machine for Embedded Automotive Applications
— We present here a hardware–friendly version of the Support Vector Machine (SVM), which is useful to implement its feed–forward phase on limited–resources devices such as ...
Davide Anguita, Alessandro Ghio, Stefano Pischiutt...
CANDC
2002
ACM
14 years 9 months ago
Drug Design by Machine Learning: Support Vector Machines for Pharmaceutical Data Analysis
We show that the support vector machine (SVM) classification algorithm, a recent development from the machine learning community, proves its potential for structure
Robert Burbidge, Matthew W. B. Trotter, Bernard F....
ICMCS
2006
IEEE
151views Multimedia» more  ICMCS 2006»
15 years 3 months ago
Support Vector Machine for Multiple Feature Classifcation
In this paper an effective method of using SVM classifier for multiple feature classification is proposed. Compared with traditional combination methods where all needed base clas...
Bing-Yu Sun, Moon-Chuen Lee
ESANN
2004
14 years 11 months ago
Face Recognition Using Recurrent High-Order Associative Memories
A novel face recognition approach is proposed, based on the use of compressed discriminative features and recurrent neural classifiers. Low-dimensional feature vectors are extract...
Iulian B. Ciocoiu