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EMNLP
2011
12 years 7 months ago
Semi-Supervised Recursive Autoencoders for Predicting Sentiment Distributions
We introduce a novel machine learning framework based on recursive autoencoders for sentence-level prediction of sentiment label distributions. Our method learns vector space repr...
Richard Socher, Jeffrey Pennington, Eric H. Huang,...
BMCBI
2008
130views more  BMCBI 2008»
13 years 7 months ago
A novel series of compositionally biased substitution matrices for comparing Plasmodium proteins
Background: The most common substitution matrices currently used (BLOSUM and PAM) are based on protein sequences with average amino acid distributions, thus they do not represent ...
Kevin Brick, Elisabetta Pizzi
BMCBI
2007
207views more  BMCBI 2007»
13 years 7 months ago
Analyzing in situ gene expression in the mouse brain with image registration, feature extraction and block clustering
Background: Many important high throughput projects use in situ hybridization and may require the analysis of images of spatial cross sections of organisms taken with cellular lev...
Manjunatha Jagalur, Chris Pal, Erik G. Learned-Mil...
BMCBI
2005
246views more  BMCBI 2005»
13 years 7 months ago
ParPEST: a pipeline for EST data analysis based on parallel computing
Background: Expressed Sequence Tags (ESTs) are short and error-prone DNA sequences generated from the 5' and 3' ends of randomly selected cDNA clones. They provide an im...
Nunzio D'Agostino, Mario Aversano, Maria Luisa Chi...
CAISE
2000
Springer
13 years 12 months ago
An Overview of RoZ: A Tool for Integrating UML and Z Specifications
This paper presents an approach and a tool to increase specification quality by using a combination of UML and formal languages. Our approach is based on the expression of the UML ...
Sophie Dupuy, Yves Ledru, Monique Chabre-Peccoud