PAGODA: A Model for Autonomous Learning in Probabilistic Domains (ResearchIndex)

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PAGODA: A Model for Autonomous Learning in Probabilistic Domains (1992) (Make Corrections)
Marie Ellen desJardinsAI Magazine

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Abstract: Machine learning approaches have traditionally made strong simplifying assumptions: that a benevolent teacher is available to present and classify instances of a single concept to be learned; that no noise or uncertainty is present in the environment; that a complete and correct domain theory is available; or that a useful language is provided by the designer. Additionally, much existing machine learning research has been done in a piecemeal fashion, addressing subproblems without a uniform... (Update)

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BibTeX entry: (Update)

@article{ desjardins93pagoda,
    author = "Marie {desJardins}",
    title = "Pagoda: A Model for Autonomous Learning in Probabilistic Domains",
    journal = "AI Magazine",
    volume = "14",
    number = "1",
    pages = "75-76",
    year = "1993",
    url = "citeseer.ist.psu.edu/article/desjardins92pagoda.html" }

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Documents on the same site (http://www.ai.sri.com/~marie/papers/biblio.html): More
PAGODA: A Model for Autonomous Learning in Probabilistic Domains - Marie Desjardins (1992) (Correct)
Using Feature Hierarchies in Bayesian Network Learning.. - desJardins, Getoor.. (2000) (Correct)
Visualization of High-Dimensional Model Characteristics - desJardins, Rheingans (Correct)

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