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» Variable selection using neural-network models
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ICMLA
2008
14 years 11 months ago
Target Selection: A New Learning Paradigm and Its Application to Genetic Association Studies
In this work, a new learning paradigm called target selection is proposed, which can be used to test for associations between a single genetic variable and a multidimensional, qua...
Johannes Mohr, Sambu Seo, Imke Puis, Andreas Heinz...
ICDM
2010
IEEE
264views Data Mining» more  ICDM 2010»
14 years 7 months ago
Block-GP: Scalable Gaussian Process Regression for Multimodal Data
Regression problems on massive data sets are ubiquitous in many application domains including the Internet, earth and space sciences, and finances. In many cases, regression algori...
Kamalika Das, Ashok N. Srivastava
CSDA
2006
98views more  CSDA 2006»
14 years 9 months ago
GS-distributions: A new family of distributions for continuous unimodal variables
The choice of the best-suited statistical distribution for modeling data is not a trivial issue. Unless a sound theoretical background exists for selecting a particular distributi...
J. M. Muiño, Eberhard O. Voit, Albert Sorri...
ICCAD
2006
IEEE
169views Hardware» more  ICCAD 2006»
15 years 6 months ago
Microarchitecture parameter selection to optimize system performance under process variation
Abstract— Design variability due to within-die and die-todie process variations has the potential to significantly reduce the maximum operating frequency and the effective yield...
Xiaoyao Liang, David Brooks
IJON
2007
96views more  IJON 2007»
14 years 9 months ago
Suppressive effects in visual search: A neurocomputational analysis of preview search
In the real world, visual information is selected over time as well as space, when we prioritise new stimuli for attention. Watson and Humphreys [Visual marking: prioritising sele...
Eirini Mavritsaki, Dietmar Heinke, Glyn W. Humphre...