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 For Random Selection Of Chromosomes 

Code 1-20 of 60   Pages: Go to  1  2  3  Next >>  page  

This script allows a visitor for the selection of multiple checkboxes in a form. It create the buttons dynamically with unobtrusive javascript.

Draws lines in current axis, typically for approximate selection of a ROI (Region Of Interest).

Produces (handles to) any number of lines per MLIN call. Works in 'YDir'='normal' mode and then recovers the original setting. Allows to...

Techniques from information theory are usual for the selection of variables in time series prediction or pattern recognition. These tasks involve, directly or indirectly, the maximization of the mutual information between input and output data....

Visual Basic application with database connectivity to manage bleeds candidates for a selection of clinical studies.

This is a simple DHTML javascript date picker, for easy selection of ranges of dates, including year, month, day from-to and weeks. Inspired by the date range picker at google analytics.

Enter Null Values for DateTime Column of SQL Server is a tutorial which discusses about the error that have been raised if you do not enter the value for the DataTime column of the database table. If you do not add the data for the datatime...

Returning a Random Number of Database Records is the main core of this online article. The author starts with defining the SQL statement which can return the set of records. Further this article shows the step by step task involved in returning a...

Toolbox for MMSE estimators of DFT coefficients under the generalized Gamma density

The toolbox can also be downloaded from:

The matlab files enclosed in this toolbox can be used to...

This function computes a double block bootstrap percentile confidence interval and a bootstrap standard error for the difference of two z-transformed Pearson correlation coefficients. The z-statistic is defined as Zd = z1-z2 = atanh(r1)-atanh(r2),...

This program finds the center for a set of tensors using tKL

Baba C. Vemuri, Meizhu Liu, Shun-Ichi Amari and Frank Nielsen,
Total Bregman Divergence and its Applications to DTI Analysis,
IEEE Transactions...

Program for global minimization of a concave function.
We implement the algorithm of Harold. P Benson which can be found in the
paper " A Branch and Bound-Outer Approximation Algorithm for Concave Minimization over a Convex...

This module has a text area on the backend for accepting code. This means that you can cut and paste code such as potential advertisers or Google may supply you with. You can also access Joomla article content and insert it into module positions....

This is an ASP based photo album which helps the user to store and retrive their photos in their website. For the selection of photos thumbnails will be created automatically. This has an ASP source code which is helpfull for the user to customize...

This library is a lightweight implementation of genetic algorithm, contains the most popular types of chromosomes and the basic algorithms for selection, elitism, crossing and mutation.

It's a simple GUI that calculates a random position of the end-effector, calculates the inverse kinematic and plot the joints' trajectory in a figure. You can send the positions to the arm's controller with the 'Send' button.

For a...

This code package provides a framework for generating random samples of univariate distribution functions. It has an Excel database that currently lists over 870 distributions, their parameters as well as references to source material. Using a...

This is an evolutionary algorithm that returns a random list of prime numbers. This code is highly inefficient for a reason. This algorithm is more of a proof of concept that if a prime was a heritable trait, it would not be a desired one.

The Erdos-Renyi (Erdos and Renyi, 1959) is the first ever proposed algorithm for the formation of random graphs. It selects with equal probability pairs of nodes from the graph set of nodes and connects them with a predefined probability.

MATLAB implementation of the paper J. Tian, W. Yu and S. Xie,
"On The Kernel Function Selection Of Nonlocal Filtering For Image Denoising," Proc. Int. Conf. on Machine Learning and Cybernetics, pp. 2964-2969, Jul. 2008, Kunming, China.

One of the fundamental motivations for feature selection is to overcome the curse of dimensionality problem. This code presents a novel feature selection method utilizing a combination of differential evolution (DE) optimization method and a...