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COGSCI
2011
108views more  COGSCI 2011»
14 years 5 months ago
The AHA! Experience: Creativity Through Emergent Binding in Neural Networks
Many kinds of creativity result from combination of mental representations. This paper provides a computational account of how creative thinking can arise from combining neural pa...
Paul Thagard, Terrence C. Stewart
JMLR
2010
157views more  JMLR 2010»
14 years 9 months ago
Kronecker Graphs: An Approach to Modeling Networks
How can we generate realistic networks? In addition, how can we do so with a mathematically tractable model that allows for rigorous analysis of network properties? Real networks ...
Jure Leskovec, Deepayan Chakrabarti, Jon M. Kleinb...
BMCBI
2006
111views more  BMCBI 2006»
14 years 10 months ago
Using ESTs to improve the accuracy of de novo gene prediction
Background: ESTs are a tremendous resource for determining the exon-intron structures of genes, but even extensive EST sequencing tends to leave many exons and genes untouched. Ge...
Chaochun Wei, Michael R. Brent
PAMI
1998
131views more  PAMI 1998»
14 years 10 months ago
Characterization of Neuropathological Shape Deformations
—We present a framework for analyzing the shape deformation of structures within the human brain. A mathematical model is developed describing the deformation of any brain struct...
John Martin, Alex Pentland, Stan Sclaroff, Ron Kik...
LWA
2008
14 years 12 months ago
Towards the Adaptation of Scientific Course Material powered by Communities of Practice
Several applications support the adaptation of course material. Even though most of these systems allow to specify interaction preferences or even employ user modeling techniques,...
Christine Müller