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» Inferring gene regression networks with model trees
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BMCBI
2008
91views more  BMCBI 2008»
15 years 1 months ago
t2prhd: a tool to study the patterns of repeat evolution
Background: The models developed to characterize the evolution of multigene families (such as the birth-and-death and the concerted models) have also been applied on the level of ...
Botond Sipos, Kálmán Somogyi, Istv&a...
127
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IPMU
1992
Springer
15 years 5 months ago
Rule-Based Systems with Unreliable Conditions
This paper deals with the problem of inference under uncertain information. This is a generalization of a paper of Cardona et al. (1991a) where rules were not allowed to contain n...
L. Cardona, Jürg Kohlas, Paul-André Mo...
BMCBI
2010
156views more  BMCBI 2010»
15 years 1 months ago
Global screening of potential Candida albicans biofilm-related transcription factors via network comparison
Background: Candida albicans is a commonly encountered fungal pathogen in humans. The formation of biofilm is a major virulence factor in C. albicans pathogenesis and is related t...
Yu-Chao Wang, Chung-Yu Lan, Wen-Ping Hsieh, Luis A...
EDM
2008
104views Data Mining» more  EDM 2008»
15 years 2 months ago
Data-driven modelling of students' interactions in an ILE
This paper presents the development of two related machine-learned models which predict (a) whether a student can answer correctly questions in an ILE without requesting help and (...
Manolis Mavrikis
WEBI
2010
Springer
14 years 11 months ago
An Approach to Model and Predict the Popularity of Online Contents with Explanatory Factors
In this paper, we propose a methodology to predict the popularity of online contents. More precisely, rather than trying to infer the popularity of a content itself, we infer the l...
Jong Gun Lee, Sue Moon, Kavé Salamatian