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» On learning with dissimilarity functions
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SG
2005
Springer
14 years 3 months ago
Metrics for Functional and Aesthetic Label Layouts
Abstract. Co-referential relations between textual and visual elements in illustrations can be encoded efficiently through textual labels. The labels support students to learn unk...
Knut Hartmann, Timo Götzelmann, Kamran Ali, T...
IJON
2002
98views more  IJON 2002»
13 years 9 months ago
Blind deconvolution by simple adaptive activation function neuron
The `Bussgang' algorithm is one among the most known blind deconvolution techniques in the adaptive signal processing literature. It relies on a Bayesian estimator of the sou...
Simone Fiori
PKDD
2010
Springer
169views Data Mining» more  PKDD 2010»
13 years 7 months ago
Classification with Sums of Separable Functions
Abstract. We present a novel approach for classification using a discretised function representation which is independent of the data locations. We construct the classifier as a su...
Jochen Garcke
VL
2009
IEEE
156views Visual Languages» more  VL 2009»
14 years 4 months ago
Non-programmers identifying functionality in unfamiliar code: Strategies and barriers
Source code on the web is a widely available and potentially rich learning resource for nonprogrammers. However, unfamiliar code can be daunting to end-users without programming e...
Paul A. Gross, Caitlin Kelleher
KI
2009
Springer
14 years 4 months ago
Surrogate Constraint Functions for CMA Evolution Strategies
Many practical optimization problems are constrained black boxes. Covariance Matrix Adaptation Evolution Strategies (CMA-ES) belong to the most successful black box optimization me...
Oliver Kramer, André Barthelmes, Günte...