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» The Computational Complexity of Linear Optics
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JMLR
2006
134views more  JMLR 2006»
13 years 9 months ago
Considering Cost Asymmetry in Learning Classifiers
Receiver Operating Characteristic (ROC) curves are a standard way to display the performance of a set of binary classifiers for all feasible ratios of the costs associated with fa...
Francis R. Bach, David Heckerman, Eric Horvitz
IEEEMM
2007
146views more  IEEEMM 2007»
13 years 9 months ago
Learning Microarray Gene Expression Data by Hybrid Discriminant Analysis
— Microarray technology offers a high throughput means to study expression networks and gene regulatory networks in cells. The intrinsic nature of high dimensionality and small s...
Yijuan Lu, Qi Tian, Maribel Sanchez, Jennifer L. N...
PERCOM
2006
ACM
13 years 9 months ago
Bootstrapping Chord in Ad Hoc Networks: Not Going Anywhere for a While.
With the growing prevalence of wireless devices, infrastructure-less ad hoc networking is coming closer to reality. Research in this field has mainly been concerned with routing. ...
Curt Cramer, Thomas Fuhrmann
JMLR
2007
137views more  JMLR 2007»
13 years 9 months ago
Building Blocks for Variational Bayesian Learning of Latent Variable Models
We introduce standardised building blocks designed to be used with variational Bayesian learning. The blocks include Gaussian variables, summation, multiplication, nonlinearity, a...
Tapani Raiko, Harri Valpola, Markus Harva, Juha Ka...
CANDC
2004
ACM
13 years 9 months ago
Cycling in ecological networks: Finn's index revisited
A chief cybernetic feature of natural living systems is the recycling of nutrients, which tends to enhance stability and is one of the principal causes of ecosystem complexity. In...
Stefano Allesina, Robert E. Ulanowicz