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» Fuzzy Clustering of Series Using Quantile Autocovariances
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ITIIS
2010
138views more  ITIIS 2010»
13 years 2 days ago
Identification of Fuzzy Inference System Based on Information Granulation
In this study, we propose a space search algorithm (SSA) and then introduce a hybrid optimization of fuzzy inference systems based on SSA and information granulation (IG). In comp...
Wei Huang, Lixin Ding, Sung-Kwun Oh, Chang-Won Jeo...
EUSFLAT
2009
312views Fuzzy Logic» more  EUSFLAT 2009»
13 years 3 months ago
Forecasting Exchange Rates: A Neuro-Fuzzy Approach
This paper presents an adaptive neuro-fuzzy inference system (ANFIS) for USD/JPY exchange rates forecasting. Previous work often used time series techniques and neural networks (NN...
Meysam Alizadeh, Roy Rada, Akram Khaleghei Ghoshe ...
BMCBI
2008
130views more  BMCBI 2008»
13 years 5 months ago
A novel series of compositionally biased substitution matrices for comparing Plasmodium proteins
Background: The most common substitution matrices currently used (BLOSUM and PAM) are based on protein sequences with average amino acid distributions, thus they do not represent ...
Kevin Brick, Elisabetta Pizzi
BMCBI
2006
186views more  BMCBI 2006»
13 years 5 months ago
Systematic gene function prediction from gene expression data by using a fuzzy nearest-cluster method
Background: Quantitative simultaneous monitoring of the expression levels of thousands of genes under various experimental conditions is now possible using microarray experiments....
Xiaoli Li, Yin-Chet Tan, See-Kiong Ng
ICIP
2007
IEEE
13 years 11 months ago
Dominant Sets-Based Action Recognition using Image Sequence Matching
Action recognition is one of the most active research fields in computer vision. In this paper, we propose a novel method for classifying human actions in a series of image seque...
Qingdi Wei, Weiming Hu, Xiaoqin Zhang, Guan Luo