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On genetic algorithms
TLDR
C Culling is near optimal for this problem, highly noise tolerant, and the best known a~~roach in some regimes, and some new large deviation bounds on this submartingale enable us to determine the running time of the algorithm.
Where Genetic Algorithms Excel
TLDR
It is shown that the problem of learning the Ising perceptron is reducible to a noisy version of ASP, and an algorithm is described the authors call Explicitly Parallel Search that succeeds.
Multiscale optimization in neural nets
TLDR
An optimization method for neural networks governed by quite general objective functions is presented that introduces a smaller, approximate version of the problem at a coarser scale and to alternate between relaxation steps for the fine-scale and coarse-scale problems.
Modeling the Connection Between Development and Evolution: Preliminary Report
TLDR
This model does not describe an actual biological system, but illustrates the interplay of development and evolution and results of numerical simulations of this idealized model are presented.
A neural net for reconstruction of multiple curves with a visual grammar
TLDR
A neural net has been derived for reconstructing a set of curves from ungrouped dot locations by means of a quadratic matching objective function.
Multiscale optimization in neural nets: preliminary report
TLDR
A multiscale optimization method for neural networks governed by quite general objective functions is presented, which can be applied easily to many problems and networks.
Garrett Guide to Treasure An Introduction to Metal Detectors By
TLDR
This Garrett Guide provides basic information on the development and operation of equipment designed to detect all forms of metal, but especially treasure, and describes various ways in which detection devices are used.
PROBLEM 6 : Neural Decoding and Modulation in Patients with Tetraplegia
This work was part of a pilot clinical study, the first of its kind, involving the implantation of a 96 electrode array in the human brain for up to a full year. The work described here involved two
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