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» A Novel Hybrid Neural Network for Data Clustering
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KDD
1995
ACM
114views Data Mining» more  KDD 1995»
15 years 3 months ago
Designing Neural Networks from Statistical Models: A New Approach to Data Exploration
We develop,in the context of discriminantanalysis,a generalapproachto the designof neuralarchitectures. It consistsin building a neuralnet ‘around’a statistical model family; ...
Antonio Ciampi, Yves Lechevallier
ISNN
2007
Springer
15 years 5 months ago
Hybrid Pipeline Structure for Self-Organizing Learning Array
In recent years, many efforts have been put in applying the concept of reconfigurable computing to neural networks. In our previous pursuits, an innovative self-organizing learning...
Janusz A. Starzyk, Mingwei Ding, Yinyin Liu
JCB
2006
129views more  JCB 2006»
14 years 11 months ago
GenRate: A Generative Model that Reveals Novel Transcripts in Genome-Tiling Microarray Data
Genome-wide microarray designs containing millions to hundreds of millions of probes are available for a variety of mammals, including mouse and human. These genome tiling arrays ...
Brendan J. Frey, Quaid Morris, Timothy R. Hughes
ENGL
2007
180views more  ENGL 2007»
14 years 11 months ago
Biological Data Mining for Genomic Clustering Using Unsupervised Neural Learning
— The paper aims at designing a scheme for automatic identification of a species from its genome sequence. A set of 64 three-tuple keywords is first generated using the four type...
Shreyas Sen, Seetharam Narasimhan, Amit Konar
CIT
2004
Springer
15 years 3 months ago
Adaptive Neural Network-Based Clustering of Yeast Protein-Protein Interactions
Abstract. In this paper, we presents an adaptive neural network based clustering method to group protein
Jae-Hong Eom, Byoung-Tak Zhang