Description:

The Cognitive Foundry is a modular Java software library for the research and development of cognitive systems. It is primarily designed for research and development to be easy to plug into applications to provide adaptive behaviors.

The main part of the Foundry is the Machine Learning package, which contains reusable components and algorithms for machine learning and statistics. It contains many algorithms for supervised and unsupervised learning as well as statistical modeling. It is interface-centric and uses generics to make it easy to customize to the needs of individual applications.

The Cognitive Foundry's development is led by Sandia National Laboratories and is released under the open source BSD License. It requires Java 1.7.

Changes to previous version:

• General:
  • Updated MTJ to version 1.0.2 and netlib-java to 1.1.2.
  • Updated XStream to version 1.4.8.
• Common:
  • Fixed issue in VectorUnionIterator.
• Learning:
  • Added Alternating Least Squares (ALS) Factorization Machine training implementation.
  • Fixed performance issue in Factorization Machine where linear component was not making use of sparsity.
  • Added utility function to sigmoid unit.

BibTeX Entry: Download

Corresponding Paper BibTeX Entry: Download

Supported Operating Systems: Agnostic, Platform Independent

Data Formats: Matlab, Csv, Xml, Xstream

Tags: Classification, Clustering, Adaboost, Decision Tree Learning, Algorithms, Gaussian Mixture Models, Bagging, Ensemble Methods, Gaussian Processes, Affinity Propagation, Bfgs, Generics, Genetic Algorith

Archive: download here

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