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» Neural Network Regressions with Fuzzy Clustering
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WILF
2005
Springer
112views Fuzzy Logic» more  WILF 2005»
13 years 10 months ago
NEC for Gene Expression Analysis
Aim of this work is to apply a novel comprehensive machine learning tool for data mining to preprocessing and interpretation of gene expression data. Furthermore, some visualizatio...
Roberto Amato, Angelo Ciaramella, N. Deniskina, Ca...
TSMC
2002
110views more  TSMC 2002»
13 years 4 months ago
Complexity reduction for "large image" processing
We present a method for sampling feature vectors in large (e.g., 2000 5000 16 bit) images that finds subsets of pixel locations which represent "regions" in the image. Sa...
Nikhil R. Pal, James C. Bezdek
CAIP
2009
Springer
114views Image Analysis» more  CAIP 2009»
13 years 8 months ago
Decision Trees Using the Minimum Entropy-of-Error Principle
Binary decision trees based on univariate splits have traditionally employed so-called impurity functions as a means of searching for the best node splits. Such functions use estim...
Joaquim Marques de Sá, João Gama, Ra...
FSKD
2009
Springer
138views Fuzzy Logic» more  FSKD 2009»
13 years 11 months ago
Censoring Biological Echoes in Weather Radar Images
Weather radar data is susceptible to several artifacts due to anamalous propagation, ground clutter, electronic interference, sun angle, second-trip echoes and biological contamin...
Valliappa Lakshmanan, Jian Zhang
BIOCOMP
2008
13 years 6 months ago
Reverse Engineering Module Networks by PSO-RNN Hybrid Modeling
Background: Inferring a gene regulatory network (GRN) from high throughput biological data is often an under-determined problem and is a challenging task due to the following reas...
Yuji Zhang, Jianhua Xuan, Benildo de los Reyes, Ro...