Aims and Scope

The Open Artificial Intelligence Journal is an Open Access online journal, which publishes research articles, reviews/mini-reviews, and letters in all areas of basic and applied computational intelligence. The journal covers the topics related to.

  • Automated reasoning

    1. Case-based reasoning

    2. Algorithms in Artificial Intelligence

    3. Machine learning

    4. AI applications in medicine, law, and other disciplines

    5. Bioinformatics

    6. Computing and the mind

    7. Cognitive Science

    8. Constraint processing

    9. Intelligent interfaces / robotics

    10. Pervasive computing and ambient intelligence

    11. Heuristic search

    12. Cognitive science

    13. Natural computing

    14. Philosophy and AI

The Open Artificial Intelligence Journal, a peer reviewed journal, is an important and reliable source of current information on developments in the field. The emphasis will be on publishing quality articles rapidly and making them freely available worldwide.

Editor's Choice

Margin Based Dimensionality Reduction and Generalization

Jing Peng , Stefan Robila , Wei Fan , Guna Seetharaman

Linear discriminant analysis (LDA) for dimension reduction has been applied to a wide variety of problems such as face recognition. However, it has a major computational difficulty when the number of dimensions is greater than the sample size. In this paper, we propose a margin based criterion for linear dimension reduction that addresses the above problem associated with LDA. We establish an error bound for our proposed technique by showing its relation to least squares regression. In addition, there are well established numerical procedures such as semi-definite programming for optimizing the proposed criterion. We demonstrate the efficacy of our proposal and compare it against other competing techniques using a number of examples.

August 24, 2010

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