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ESWA
2006
105views more  ESWA 2006»
13 years 7 months ago
Predicting box-office success of motion pictures with neural networks
Predicting box-office receipts of a particular motion picture has intrigued many scholars and industry leaders as a difficult and challenging problem. In this study, the use of ne...
Ramesh Sharda, Dursun Delen
PRL
2000
182views more  PRL 2000»
13 years 7 months ago
Bayesian MLP neural networks for image analysis
We demonstrate the advantages of using Bayesian multi layer perceptron (MLP) neural networks for image analysis. The Bayesian approach provides consistent way to do inference by c...
Aki Vehtari, Jouko Lampinen
CBMS
2007
IEEE
13 years 7 months ago
A Time-Frequency Based Method for the Detection of Epileptic Seizures in EEG Recordings
A novel three-stage method for the analysis of electroencephalographic (EEG) signals, concerning epileptic seizures, is proposed. First, segments of the EEG signals are analyzed u...
Alexandros T. Tzallas, Markos G. Tsipouras, Dimitr...
IWANN
1999
Springer
13 years 12 months ago
Support Vector Machines for Multi-class Classification
Abstract: Support vector machines (SVMs) are primarily designed for 2-class classification problems. Although in several papers it is mentioned that the combination of K SVMs can b...
Eddy Mayoraz, Ethem Alpaydin
EOR
2006
73views more  EOR 2006»
13 years 7 months ago
Path relinking and GRG for artificial neural networks
Artificial neural networks (ANN) have been widely used for both classification and prediction. This paper is focused on the prediction problem in which an unknown function is appr...
Abdellah El-Fallahi, Rafael Martí, Leon S. ...