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» Classifying Relational Data with Neural Networks
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SCAI
2008
15 years 1 months ago
Modeling Habituation in the Cnidarian Hydra
Abstract. In the design of behavior-based control architectures for robots it is common to use biology as inspiration, and often the observed functionalities of insect behaviors ar...
Malin Aktius, Mats Nordahl, Tom Ziemke
IJCNN
2000
IEEE
15 years 4 months ago
EM Algorithms for Self-Organizing Maps
eresting web-available abstracts and papers on clustering: An Analysis of Recent Work on Clustering Algorithms (1999), Daniel Fasulo : This paper describes four recent papers on cl...
Tom Heskes, Jan-Joost Spanjers, Wim Wiegerinck
IJCNN
2008
IEEE
15 years 6 months ago
Comparative study on normalization procedures for cluster analysis of gene expression datasets
—Normalization before clustering is often needed for proximity indices, such as Euclidian distance, which are sensitive to differences in the magnitude or scales of the attribute...
Marcílio Carlos Pereira de Souto, Daniel S....
BMCBI
2006
143views more  BMCBI 2006»
14 years 11 months ago
IsoSVM - Distinguishing isoforms and paralogs on the protein level
Background: Recent progress in cDNA and EST sequencing is yielding a deluge of sequence data. Like database search results and proteome databases, this data gives rise to inferred...
Michael Spitzer, Stefan Lorkowski, Paul Cullen, Al...
KDD
2008
ACM
259views Data Mining» more  KDD 2008»
16 years 2 days ago
Using ghost edges for classification in sparsely labeled networks
We address the problem of classification in partially labeled networks (a.k.a. within-network classification) where observed class labels are sparse. Techniques for statistical re...
Brian Gallagher, Hanghang Tong, Tina Eliassi-Rad, ...