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Avrim Blum  (Make Corrections)  
Learning Boolean Functions in an Infinite Attribute Space School of Computer...



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Abstract: This paper presents a theoretical model for learning Boolean functions in domains having a (Update)

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BibTeX entry:   (Update)

@misc{ computer-avrim,
  author = "School Of Computer",
  title = "Avrim Blum",
  url = "citeseer.ist.psu.edu/442302.html" }
Citations (may not include all citations):
537   A theory of the learnable (context) - Valiant - 1984
441   Queries and concept learning (context) - Angluin - 1988
244   Learning regular sets from queries and counter-examples (context) - Angluin - 1986
215   Learning decision lists - Rivest - 1987
84   Learning when irrelevant attributes abound: A new linear-thr.. (context) - Littlestone - 1987
74   Mistake bounds and logarithmic linear-threshold learning alg.. (context) - Littlestone - 1989
52   The Computational Complexity of Machine Learning (context) - Kearns - 1989
30   Learning in the presence of finitely or infinitely many irre.. - Blum, Hellerstein et al. - 1991
2   Recent results on boolean concept learning (context) - an, Space et al. - 1987

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A Polynomial-time Algorithm for Learning Noisy Linear.. - Blum, Frieze, Kannan, .. (1996)   (Correct)
A Note on Learning from Multiple-Instance Examples - Blum, Kalai (1998)   (Correct)
Linear Approximation of Shortest Superstrings - Blum, Jiang, Li, Tromp.. (1991)   (Correct)

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