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APBC
2004
166views Bioinformatics» more  APBC 2004»
13 years 9 months ago
A Novel Method for Protein Subcellular Localization Based on Boosting and Probabilistic Neural Network.
Subcellular localization is a key functional characteristic of proteins. An automatic, reliable and efficient prediction system for protein subcellular localization is needed for ...
Jian Guo, Yuanlie Lin, Zhirong Sun
BIOCOMP
2006
13 years 9 months ago
The Use of Context-Sensitive Grammar For Modeling RNA Pseudoknots
- In this study, a context-sensitive grammar is suggested to model various forms of RNA secondary structures, especially pseudoknots. Comparing with a conventional context-free gra...
Keum-Young Sung
NIPS
1993
13 years 9 months ago
Credit Assignment through Time: Alternatives to Backpropagation
Learning to recognize or predict sequences using long-term context has many applications. However, practical and theoretical problems are found in training recurrent neural networ...
Yoshua Bengio, Paolo Frasconi
BMCBI
2005
96views more  BMCBI 2005»
13 years 8 months ago
Comparison of codon usage measures and their applicability in prediction of microbial gene expressivity
Background: There are a number of methods (also called: measures) currently in use that quantify codon usage in genes. These measures are often influenced by other sequence proper...
Fran Supek, Kristian Vlahovicek
ICPR
2010
IEEE
13 years 6 months ago
Color Connectedness Degree for Mean-Shift Tracking
This paper proposes an extension to the mean shift tracking. We introduce the color connectedness degrees (CCD) which, more than providing statistical information about the target...
Michèle Gouiffès, Florence Laguzet, ...