Vaguery + applied-mathematics 7
Random matrices in the news : Applied Statistics
may 2010 by Vaguery
"Now, to return to the news article. If the eigenvalue distribution is an attractor, this means that a lot of physical and social phenomena which can be modeled by eigenvalues (including, apparently, quantum energy levels and some properties of statistical tests) might have a common structure. Just as, at a similar level, we see the normal distribution and related functions in all sorts of unusual places."
random-matrix
statistics
complexology
physics
applied-mathematics
universality
may 2010 by Vaguery
[math/9404236v1] On proof and progress in mathematics
may 2010 by Vaguery
"What is it that mathematicians accomplish?"
mathematics
theory-and-practice-sitting-in-a-tree
applied-mathematics
theory
practice
pragmatism-it-ain't
may 2010 by Vaguery
Shuffling with ordered cards
march 2010 by Vaguery
"…We can also consider what happens when instead of only considering a single type of shuffling we consider combining the j! different shuffling rules that come from all the possible rearrangements of the ordering of the labels. And of course, perhaps the most important thing missing right now is a good magic trick that can be performed using this shuffling rule, which was the original motivation of Larry Carter and J.-C. Reyes who first suggested this problem!"
mathematics
open-questions
Nudge
Nudge-targets
combinatorics
applied-mathematics
march 2010 by Vaguery
Head & Neck Oncology | Full text | Potential for Raman spectroscopy to provide cancer screening using a peripheral blood sample
december 2009 by Vaguery
"The mean spectra were provided as input sequences to the Implicit Context Representation Cartesian Genetic Programming algorithm (IRCGP)[14,15]. IRCGP uses evolutionary computing methodology to learn classifiers that are capable of distinguishing between data classes. Induced classifiers take the form of programmatic expressions applied to particular offsets within the input data sequences. These expressions are composed from a set of simple mathematical functions. Both the choice and connectivity of the functions, and the choice of offsets used within the input sequences, are determined by the algorithm's evolutionary process. The input sequences were divided equally into training and test sets. To prevent over-learning, training of the classifiers was stopped once classification accuracy of the test sequences started to fall."
genetic-programming
clinical
diagnosis
nudge
spectroscopy
applied-mathematics
machine-learning
classification
december 2009 by Vaguery
Computational Infrastructure for Operations Research Home Page
september 2009 by Vaguery
"The Computational Infrastructure for Operations Research (COIN-OR**, or simply COIN) project is an initiative to spur the development of open-source software for the operations research community."
operations-research
open-source
software
applied-mathematics
library
september 2009 by Vaguery
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