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Automated Learning and Discovery: State-Of-The-Art and Research Topics in a Rapidly Growing Field (1998)  (Make Corrections)  (6 citations)
Sebastian Thrun, Christos Faloutsos, Tom Mitchell, Larry Wasserman
The AI Magazine



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Abstract: this report. Finally, we would like to thank all participants who contributed to a lively meeting (Update)

Context of citations to this paper:   More

...only a very simple kind of learning. This is not limited to RoboCup only; it is typical for most of AI. It can be seen from the survey [2]. I also surveyed the machine learning group 4 and concluded that more complex approaches to learning are probably not covered there. I...

.... networks, in an incremental fashion, as the data becomes available over time, without having to reprocess the already processed data [5, 14]. Although some incremental and distributed learning algorithms have been proposed in the literature, most of them [9, 4, 15] do not...

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BibTeX entry:   (Update)

S. Thrun, C. Faloutsos, T. Mitchell, L. Wasserman, Automated Learning and Discovery: State-Of-The-Art and Research Topics in a Rapidly Growing Field, CMU, Pittsburgh, 1998. http://citeseer.ist.psu.edu/thrun98automated.html   More

@article{ thrun99automated,
    author = "Sebastian thrun and Christos Faloufsos and Tom Mitchell and Larry Wasserman",
    title = "Automated Learning and Discovery---State of the Art and Research Topics in a Rapidly Growing Field",
    journal = "The {AI} Magazine",
    volume = "20",
    number = "3",
    pages = "78--82",
    year = "1999",
    url = "citeseer.ist.psu.edu/thrun98automated.html" }
Citations (may not include all citations):
1   Same authors and title (context) - CMU-CALD-, Carnegie et al.

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