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» Generality Is Predictive of Prediction Accuracy
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ICDM
2010
IEEE
172views Data Mining» more  ICDM 2010»
15 years 2 months ago
Learning Attribute-to-Feature Mappings for Cold-Start Recommendations
Cold-start scenarios in recommender systems are situations in which no prior events, like ratings or clicks, are known for certain users or items. To compute predictions in such ca...
Zeno Gantner, Lucas Drumond, Christoph Freudenthal...
147
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BMCBI
2007
147views more  BMCBI 2007»
15 years 4 months ago
Hon-yaku: a biology-driven Bayesian methodology for identifying translation initiation sites in prokaryotes
Background: Computational prediction methods are currently used to identify genes in prokaryote genomes. However, identification of the correct translation initiation sites remain...
Yuko Makita, Michiel J. L. de Hoon, Antoine Danchi...
BMCBI
2007
139views more  BMCBI 2007»
15 years 4 months ago
Improving model predictions for RNA interference activities that use support vector machine regression by combining and filterin
Background: RNA interference (RNAi) is a naturally occurring phenomenon that results in the suppression of a target RNA sequence utilizing a variety of possible methods and pathwa...
Andrew S. Peek
ICSM
2002
IEEE
15 years 9 months ago
Combining Software Quality Predictive Models: An Evolutionary Approach
During the past ten years, a large number of quality models have been proposed in the literature. In general, the goal of these models is to predict a quality factor starting from...
Salah Bouktif, Houari A. Sahraoui, Balázs K...
COMPSAC
2009
IEEE
15 years 9 months ago
Modeling and Predicting Software Failure Costs
—For software, the costs of failures are not clearly understood. Often, these costs disappear in the costs of testing, the general developments costs, or the operating expenses. ...
Michael Grottke, Christian A. Graf