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» Structured Sparsity in Structured Prediction
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CIBCB
2009
IEEE
15 years 5 months ago
Application of machine learning approaches on quantitative structure activity relationships
Machine Learning techniques are successfully applied to establish quantitative relations between chemical structure and biological activity (QSAR), i.e. classify compounds as activ...
Mariusz Butkiewicz, Ralf Mueller, Danilo Selic, Er...
EMNLP
2010
15 years 2 months ago
Multi-Level Structured Models for Document-Level Sentiment Classification
In this paper, we investigate structured models for document-level sentiment classification. When predicting the sentiment of a subjective document (e.g., as positive or negative)...
Ainur Yessenalina, Yisong Yue, Claire Cardie
115
Voted
BC
2005
63views more  BC 2005»
15 years 4 months ago
Detecting chaotic structures in noisy pulse trains based on interspike interval reconstruction
The nonlinear prediction method based on the interspike interval (ISI) reconstruction is applied to the ISI sequence of noisy pulse trains and the detection of the deterministic st...
Takashi Kanamaru, Masatoshi Sekine
169
Voted
BMCBI
2006
161views more  BMCBI 2006»
15 years 4 months ago
A method for rapid similarity analysis of RNA secondary structures
Background: Owing to the rapid expansion of RNA structure databases in recent years, efficient methods for structure comparison are in demand for function prediction and evolution...
Na Liu, Tianming Wang
BMCBI
2007
165views more  BMCBI 2007»
15 years 4 months ago
Ab initio identification of human microRNAs based on structure motifs
Background: MicroRNAs (miRNAs) are short, non-coding RNA molecules that are directly involved in post-transcriptional regulation of gene expression. The mature miRNA sequence bind...
Markus Brameier, Carsten Wiuf