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UAI
2008
14 years 11 months ago
Discovering Cyclic Causal Models by Independent Components Analysis
We generalize Shimizu et al's (2006) ICA-based approach for discovering linear non-Gaussian acyclic (LiNGAM) Structural Equation Models (SEMs) from causally sufficient, conti...
Gustavo Lacerda, Peter Spirtes, Joseph Ramsey, Pat...
BMCBI
2006
103views more  BMCBI 2006»
14 years 9 months ago
Probe-level linear model fitting and mixture modeling results in high accuracy detection of differential gene expression
Background: The identification of differentially expressed genes (DEGs) from Affymetrix GeneChips arrays is currently done by first computing expression levels from the low-level ...
Sébastien Lemieux
ICANN
2007
Springer
15 years 3 months ago
Some Properties of the Gaussian Kernel for One Class Learning
This paper proposes a novel approach for directly tuning the gaussian kernel matrix for one class learning. The popular gaussian kernel includes a free parameter, σ, that requires...
Paul F. Evangelista, Mark J. Embrechts, Boleslaw K...
VR
1993
IEEE
103views Virtual Reality» more  VR 1993»
15 years 1 months ago
Data Complexity for Virtual Reality: Where do all the Triangles Go?
Screen space rendering statistics were gathered from 150 3D objects, each modeled by between 2K and 40K triangles. While there is wide variance by individual object, the overall t...
Michael F. Deering
ICPR
2006
IEEE
15 years 11 months ago
Detection of presynaptic terminals on dendritic spines in double labeling confocal images
For the analysis of learning processes and the underlying changes of the shape of excitatory synapses (spines), 3-D volume samples of selected dendritic segments are scanned by a ...
Andreas Herzog, Bernd Michaelis, Gerald Krell, Kat...