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» A Simple Abstraction for Data Modeling
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ECML
2006
Springer
15 years 10 months ago
Transductive Gaussian Process Regression with Automatic Model Selection
Abstract. In contrast to the standard inductive inference setting of predictive machine learning, in real world learning problems often the test instances are already available at ...
Quoc V. Le, Alexander J. Smola, Thomas Gärtne...
ENTCS
2008
88views more  ENTCS 2008»
15 years 6 months ago
Formal Modelling of Salience and Cognitive Load
Well-designed interfaces use procedural and sensory cues to increase the salience of appropriate actions and intentions. However, empirical studies suggest that cognitive load can...
Rimvydas Ruksenas, Jonathan Back, Paul Curzon, Ann...
JUCS
2011
174views more  JUCS 2011»
15 years 1 months ago
Color Image Restoration Using Neural Network Model
Abstract: Neural network learning approach for color image restoration has been discussed in this paper and one of the possible solutions for restoring images has been presented. H...
Satyadhyan Chickerur, Aswatha Kumar M.
WSC
2000
15 years 8 months ago
Input modeling using a computer algebra system
Input modeling that involves fitting standard univariate parametric probability distributions is typically performed using an input modeling package. These packages typically fit ...
Diane L. Evans, Lawrence Leemis
SDM
2009
SIAM
394views Data Mining» more  SDM 2009»
16 years 4 months ago
Multi-Modal Hierarchical Dirichlet Process Model for Predicting Image Annotation and Image-Object Label Correspondence.
Many real-world applications call for learning predictive relationships from multi-modal data. In particular, in multi-media and web applications, given a dataset of images and th...
Oksana Yakhnenko, Vasant Honavar