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WAIM
2010
Springer
15 years 9 months ago
Semi-supervised Learning from Only Positive and Unlabeled Data Using Entropy
Abstract. The problem of classification from positive and unlabeled examples attracts much attention currently. However, when the number of unlabeled negative examples is very sma...
Xiaoling Wang, Zhen Xu, Chaofeng Sha, Martin Ester...
CHI
2007
ACM
15 years 8 months ago
Education, entertainment and authenticity: lessons learned from designing an interactive exhibit about medieval music
In this paper we describe the design experience gathered from creating an interactive exhibit about medieval music. This system was designed as an educational exhibit that relies ...
Marius Wolf, Eric Lee, Jan Borchers
EDM
2010
145views Data Mining» more  EDM 2010»
15 years 5 months ago
Mining Rare Association Rules from e-Learning Data
Rare association rules are those that only appear infrequently even though they are highly associated with very specific data. In consequence, these rules can be very appropriate f...
Cristóbal Romero, José Raúl R...
ICVGIP
2004
15 years 5 months ago
On Learning Shapes from Shades
Shape from Shading (SFS) is one of the most extensively studied problems in Computer Vision. However, most of the approaches only deal with Lambertian or other specific shading mo...
Subhajit Sanyal, Mayank Bansal, Subhashis Banerjee...
EUSFLAT
2003
117views Fuzzy Logic» more  EUSFLAT 2003»
15 years 5 months ago
Genetic fuzzy controllers: from simulated based learning to a real application
This work shows a stand-alone photovoltaic system application based on fuzzy logic controllers and genetic fuzzy systems. A hierarchical fuzzy controller has been designed that at...
Joaquín Cañada Bago, Jorge Aguilera,...