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» Neural methods for non-standard data
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NECO
2002
78views more  NECO 2002»
14 years 9 months ago
Local Overfitting Control via Leverages
We present a novel approach to dealing with overfitting in black-box models. It is based on the leverages of the samples, i.e. on the influence that each observation has on the pa...
Gaétan Monari, Gérard Dreyfus
ICONIP
2004
14 years 11 months ago
TWRBF - Transductive RBF Neural Network with Weighted Data Normalization
This paper introduces a novel RBF model
Qun Song, Nikola K. Kasabov
FLAIRS
2004
14 years 11 months ago
A Method Based on RBF-DDA Neural Networks for Improving Novelty Detection in Time Series
Novelty detection in time series is an important problem with application in different domains such as machine failure detection, fraud detection and auditing. An approach to this...
Adriano L. I. Oliveira, Fernando Buarque de Lima N...
BMCBI
2010
149views more  BMCBI 2010»
14 years 9 months ago
A multifactorial analysis of obesity as CVD risk factor: Use of neural network based methods in a nutrigenetics context
Background: Obesity is a multifactorial trait, which comprises an independent risk factor for cardiovascular disease (CVD). The aim of the current work is to study the complex eti...
Ioannis K. Valavanis, Stavroula G. Mougiakakou, Ke...
PAKDD
2007
ACM
203views Data Mining» more  PAKDD 2007»
15 years 3 months ago
Grammar Guided Genetic Programming for Flexible Neural Trees Optimization
Abstract. In our previous studies, Genetic Programming (GP), Probabilistic Incremental Program Evolution (PIPE) and Ant Programming (AP) have been used to optimal design of Flexibl...
Peng Wu, Yuehui Chen