5 articles in this selection

2009/08/18

Orange is a component-based framework for machine learning and data mining, intended for both experienced users and researchers in machine learning who want to develop and test their own algorithms while reusing as much of the code as possible, and for those just entering who can enjoy in powerful while easy-to-use visual programming environment....

2009/08/07

This is the index page of a "machine learning classifier gallery" which shows the results of numerous experiments on machine learning algorithms when applied to two-dimensional patterns. Each row shows a different pattern (or pattern set), described verbally then illustrated on a 2-D grid. These patterns were randomly generated (for the most part) on a 2-D grid of points. The points were then labeled based on where they fell in the pattern. On the right are algorithm classes (instance-space, rule + tree, etc.). Clicking on one of these takes you to a page showing different samples (size 50 to 1000) of the target pattern and the hypotheses generated from it by the various algorithms. Clicking on any diagram will show it to you at full resolution. Hovering over an algorithm name (eg, pyriel-2) will describe briefly what the algorithm is and exactly what arguments it was invoked with....

2009/08/07

Weka is 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 visualization. It is also well-suited for developing new machine learning schemes....

2009/06/30

Collective Intelligence in Action is a hands-on guidebook for implementing collective-intelligence concepts using Java. It is the first Java-based book to emphasize the underlying algorithms and technical implementation of vital data gathering and mining techniques like analyzing trends, discovering relationships, and making predictions. It provides a pragmatic approach to personalization by combining content-based analysis with collaborative approaches....

2009/06/16

Weka is 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 visualization. It is also well-suited for developing new machine learning schemes. Weka is open source software issued under the GNU General Public License....