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GECCO
2010
Springer
186views Optimization» more  GECCO 2010»
13 years 8 months ago
Genetic rule extraction optimizing brier score
Most highly accurate predictive modeling techniques produce opaque models. When comprehensible models are required, rule extraction is sometimes used to generate a transparent mod...
Ulf Johansson, Rikard König, Lars Niklasson
BMCBI
2010
126views more  BMCBI 2010»
13 years 7 months ago
A boosting method for maximizing the partial area under the ROC curve
Background: The receiver operating characteristic (ROC) curve is a fundamental tool to assess the discriminant performance for not only a single marker but also a score function c...
Osamu Komori, Shinto Eguchi
BMCBI
2008
141views more  BMCBI 2008»
13 years 7 months ago
Functional discrimination of membrane proteins using machine learning techniques
Background: Discriminating membrane proteins based on their functions is an important task in genome annotation. In this work, we have analyzed the characteristic features of amin...
M. Michael Gromiha, Yukimitsu Yabuki
BMCBI
2007
146views more  BMCBI 2007»
13 years 7 months ago
Spatial location and its relevance for terminological inferences in bio-ontologies
Background: An adequate and expressive ontological representation of biological organisms and their parts requires formal reasoning mechanisms for their relations of physical aggr...
Stefan Schulz, Kornél G. Markó, Udo ...
BMCBI
2006
216views more  BMCBI 2006»
13 years 7 months ago
Machine learning approaches to supporting the identification of photoreceptor-enriched genes based on expression data
Background: Retinal photoreceptors are highly specialised cells, which detect light and are central to mammalian vision. Many retinal diseases occur as a result of inherited dysfu...
Haiying Wang, Huiru Zheng, David Simpson, Francisc...