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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»
14 years 14 hour 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
14 years 2 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»
13 years 8 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»
13 years 8 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
14 years 6 days 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