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» Incompleteness in Data Mining
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ESANN
2007
15 years 8 months ago
Interval discriminant analysis using support vector machines
Imprecision, incompleteness, prior knowledge or improved learning speed can motivate interval–represented data. Most approaches for SVM learning of interval data use local kernel...
Cecilio Angulo, Davide Anguita, Luis Gonzál...
AAAI
1996
15 years 8 months ago
Noise and the Common Sense Informatic Situation for a Mobile Robot
Any model of the world a robot constructs on the basis of its sensor data is necessarily both incomplete, due to the robot's limited window on the world, and uncertain, due t...
Murray Shanahan
ICDE
2003
IEEE
133views Database» more  ICDE 2003»
16 years 8 months ago
Text Joins for Data Cleansing and Integration in an RDBMS
An organization's data records are often noisy because of transcription errors, incomplete information, lack of standard formats for textual data or combinations thereof. A f...
Luis Gravano, Panagiotis G. Ipeirotis, Nick Koudas...
GECCO
2009
Springer
173views Optimization» more  GECCO 2009»
16 years 1 months ago
Creating regular expressions as mRNA motifs with GP to predict human exon splitting
Low correlation between mRNA concentrations measured at different locations for the same exon show many current Ensembl exon definitions are incomplete. Automatically created pa...
William B. Langdon, Joanna Rowsell, Andrew P. Harr...
FGR
2006
IEEE
111views Biometrics» more  FGR 2006»
16 years 27 days ago
Registration of Expressions Data using a 3D Morphable Model
The registration of 3D scans of faces is a key step for many applications, in particular for building 3D Morphable Models. Although a number of algorithms are already available fo...
Curzio Basso, Pascal Paysan, Thomas Vetter