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IJCNN
2006
IEEE
15 years 10 months ago
Adaptation of Artificial Neural Networks Avoiding Catastrophic Forgetting
— In connectionist learning, one relevant problem is “catastrophic forgetting” that may occur when a network, trained with a large set of patterns, has to learn new input pat...
Dario Albesano, Roberto Gemello, Pietro Laface, Fr...
BMCBI
2005
117views more  BMCBI 2005»
15 years 3 months ago
Differentiation of regions with atypical oligonucleotide composition in bacterial genomes
Background: Complete sequencing of bacterial genomes has become a common technique of present day microbiology. Thereafter, data mining in the complete sequence is an essential st...
Oleg N. Reva, Burkhard Tümmler
RECOMB
2003
Springer
16 years 4 months ago
Joint classifier and feature optimization for cancer diagnosis using gene expression data
Recent research has demonstrated quite convincingly that accurate cancer diagnosis can be achieved by constructing classifiers that are designed to compare the gene expression pro...
Balaji Krishnapuram, Lawrence Carin, Alexander J. ...
AUTOID
2005
IEEE
15 years 9 months ago
Fully Automated Facial Symmetry Axis Detection in Frontal Color Images
In this paper, we consider the problem of automatically detecting a facial symmetry axis in what we will call a standard human face image (acquired when the subject is looking dir...
Xin Chen, Patrick J. Flynn, Kevin W. Bowyer
PREMI
2005
Springer
15 years 9 months ago
Computational Molecular Biology of Genome Expression and Regulation
Abstract. Technological advances in experimental and computational molecular biology have revolutionized the whole fields of biology and medicine. Large-scale sequencing, expressio...
Michael Q. Zhang