Learning Algorithm

This code implements the basic back propagation of error learning algorithm. the network has tanh hidden neurons and a linear output neuron, and applied for predicting y=sin(2pix1)*sin(2pix2).We didn't use any feature of neural network toolbox.

Manipulate moving gaussians in real-time and see how an online learning algorithm reacts.In non-stationary learning problems, the target distribution changes over time, and our learned model must adapt. In this example, toy data is generated from two gaussian distributions. The learning algorithm...

Flip card learning program for iPhone with a spaced learning algorithm. Create your own databases and edit the cards directly on the iPhone. Import Palm databases or csv-formatted files and backup your data with our Java application.


Platforms: Mac

The TreeQ package is a set of C-language applications that implement aautomatic machine learning algorithm based on a tree-structured classifier. This approach is particularly effective for high-dimensional continuous data such as audio and video.


Platforms: Windows, Mac, Linux

TBLTools is a set of GATE processing resources that implements the Fast Transformation Based Learning Algorithm. You can train it to learn rules for NLP tasks such as Named Entity Recognition and Shallow parsing.


Platforms: Windows, Mac, Linux

Inspired by neurons and their connections in the brain, neural network is a representation used in machine learning. After running the back-propagation learning algorithm on a given set of examples, the neural network can be used to predict outcomes for any set of input values. Neural Networks...


Platforms: Windows

Weka packahe provides a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and...


Platforms: Windows

Weka packahe provides a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and...


Platforms: Windows

It is a single lyer single neuron for linear sparable data classification.It implement the first neural networks algorithm by Rosenblatt's. It is a single lyer single neuron for linear sparable data classification.It implement the first neural networks algorithm by Rosenblatt's. It contains three...


Platforms: Matlab

Shape Collage is a free automatic photo collage maker that lets you create picture collages in less than a minute with just a few mouse clicks. Shape Collage creates collages using an intelligent machine learning algorithm that automatically places the photos in the collage and can arrange the...


Platforms: Windows, Mac, *nix

A free automatic photo collage maker that lets you create picture collages in a variety of shapes in less than a minute with just a few mouse clicks. Shape Collage creates collages using an intelligent machine learning algorithm that automatically places the photos in the collage and can arrange...


Platforms: Mac

CRFSharp(aka CRF#) is a .NET(C#) implementation of Conditional Random Fields, an machine learning algorithm for learning from labeled sequences of examples. It is widely used in Natural Language Process (NLP) tasks, for example: word breaker, postagging, named entity recognized, query chunking...


Platforms: Windows, Mac, Linux

NLMS is one of the adaptive filter algorithms. In this file ,an experiment is made to identify a linear noisy system with the help of NLMS algorithm. The weights of the estimated system is nearly identical with the real one. Also , adaptive learning rate has been applied.A reference is used to...


Platforms: Matlab

Multilingual dictionary, and the most efficient speaking software for learning words of foreign languages. Fast and convenient translation words using clipboard and hotkeys. It contains unique set of functions for learning words and guide to their pronunciation. Microsoft animated characters...


Platforms: Windows

Algorithm::Dependency is a base class for implementing various dependency trees. SYNOPSIS use Algorithm::Dependency; use Algorithm::Dependency::Source::File; # Load the data from a simple text file my $data_source = Algorithm::Dependency::Source::File->new( foo.txt ); # Create the...


Platforms: *nix

Algorithm::Knapsack is a brute-force algorithm for the knapsack problem. SYNOPSIS use Algorithm::Knapsack; my $knapsack = Algorithm::Knapsack->new( capacity => $capacity, weights => @weights, ); $knapsack->compute(); foreach my $solution ($knapsack->solutions()) { foreach my $index...


Platforms: *nix

Algorithm::DiffOld is a Perl module to compute `intelligent differences between two files / lists but use the old (<=0.59) interface. NOTE This has been provided as part of the Algorithm::Diff package by Ned Konz. This particular module is ONLY for people who HAVE to have the old interface,...


Platforms: *nix

Algorithm::Loops is a Perl module with looping constructs: NestedLoops, MapCar*, Filter, and NextPermute*. SYNOPSYS use Algorithm::Loops qw( Filter MapCar MapCarU MapCarE MapCarMin NextPermute NextPermuteNum NestedLoops ); my @copy= Filter {tr/A-Z.,"()/a-z/d} @list; my $string= Filter...


Platforms: *nix

Algorithm::Diff::Apply is a Perl module to apply one or more Algorithm::Diff diffs. SYNOPSIS ## Single-diff form: use Algorithm::Diff::Apply qw{apply_diff}; my @ary = ...; my @diff = ...; # some call to Algorithm::Diff::diff() my @changed_ary = apply_diff(@ary, @diff); my $changed_ary =...


Platforms: *nix

Parallel Genetic Algorithm Library (or PGAL for short) is a C++ toolkit for simply, efficiently, and swiftly producing genetic algorithm code that works across multiple processors. This is useful not only for those with multi-processor computers, but also for distributed and cluster computing...


Platforms: *nix