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104
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AIM
2004
15 years 5 months ago
Using Machine Learning to Design and Interpret Gene-Expression Microarrays
Gene-expression microarrays, commonly called "gene chips," make it possible to simultaneously measure the rate at which a cell or tissue is expressing
Michael Molla, Michael Waddell, David Page, Jude W...
173
Voted
COGSCI
2004
120views more  COGSCI 2004»
15 years 4 months ago
Children's causal inferences from indirect evidence: Backwards blocking and Bayesian reasoning in preschoolers
Previous research suggests that children can infer causal relations from patterns of events. However, what appear to be cases of causal inference may simply reduce to children rec...
David M. Sobel, Joshua B. Tenenbaum, Alison Gopnik
103
Voted
CORR
2004
Springer
89views Education» more  CORR 2004»
15 years 4 months ago
On the Inertia of the Asynchronous Circuits
By making use of the notions and the notations from [12], we present the bounded delays, the absolute inertia and the relative inertia. 1 Bounded Delays
Serban E. Vlad
AIEDAM
1998
87views more  AIEDAM 1998»
15 years 4 months ago
Learning to set up numerical optimizations of engineering designs
Gradient-based numerical optimization of complex engineering designs offers the promise of rapidly producing better designs. However, such methods generally assume that the object...
Mark Schwabacher, Thomas Ellman, Haym Hirsh
NN
2007
Springer
15 years 4 months ago
From memory-based decisions to decision-based movements: A model of interval discrimination followed by action selection
The interval discrimination task is a classical experimental paradigm that is employed to study working memory and decision making and typically involves four phases. First, the s...
Prashant Joshi