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\expandafter\ifx\csname natexlab\endcsname\relax\def\natexlab#1{#1}\fi
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  \def\url#1{{\tt #1}}\fi

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\newblock Bayesian classification {(AutoClass)}: {T}heory and results.
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\newblock A {Bayesian} method for the induction of probabilistic networks from
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\newblock {\em Machine Learning}, 9:\penalty0 309--347, 1992.

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\newblock Maximum likelihood from incomplete data via the {EM} algorithm.
\newblock {\em Journal of the Royal Statistical Society}, B 39:\penalty0 1--38,
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\newblock A general method for scaling up machine learning algorithms and its
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\newblock In {\em Proceedings of the Eighteenth International Conference on
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\newblock Decision analysis: Applied decision theory.
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\bibitem[John and Langley(1996)]{John96}
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\newblock Static versus dynamic sampling for data mining.
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\bibitem[Kadie(1995)]{Kadie95}
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\newblock {\em Seer: Maximum Likelihood Regression for Learning-Speed Curves}.
\newblock PhD thesis, Department of Computer Science, University of Illinois,
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\bibitem[McLachlan and Basford(1988)]{MB88}
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\newblock Marcel Dekker, 1988.

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\bibitem[Provost et~al.(1999)Provost, Jensen, and Oates]{Provost99}
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\newblock In {\em Proceedings of the Fifth International Conference on
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\bibitem[Thiesson et~al.(1999)Thiesson, Meek, Chickering, and
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\bibitem[Titterington et~al.(1985)Titterington, Smith, and Makov]{TSM85}
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