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\newblock Incremental and decremental support vector machine learning.
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\newblock Support vector networks.
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\newblock Committee-based sampling for training probabilistic classifiers.
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\newblock Selective sampling using the query by committee algorithm.
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\newblock {T}roubleshooting {U}nder {U}ncertainty.
\newblock Technical Report MSR-TR-94-07, Microsoft Research, 1994.

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\newblock Bayes point machines.
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\newblock Time dependent utility and action under uncertainty.
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\bibitem[Joachims(1998)]{Joachims:ECML97}
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\newblock Text categorization with support vector machines.
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\bibitem[Joachims(1999{\natexlab{a}})]{JoachimsSVMlight:1999}
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\bibitem[Joachims(1999{\natexlab{b}})]{Joachims:ICML99}
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\newblock Transductive inference for text classification using support vector
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\bibitem[Lang(1995)]{Lang95}
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\newblock Newsweeder: Learning to filter netnews.
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\bibitem[Latombe(1991)]{Latombe:1991}
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\newblock {\em Robot Motion Planning}.
\newblock Kluwer Academic Publishers, 1991.

\bibitem[Lewis and Catlett(1994)]{Lewis:ICML94}
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\newblock Heterogeneous uncertainty sampling for supervised learning.
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\bibitem[Lewis and Gale(1994)]{Lewis:SIGIR94}
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\newblock Employing {EM} in pool-based active learning for text classification.
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\newblock Generalization as search.
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\newblock Relevance feedback in information retrieval.
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\newblock Less is more: Active learning with support vector machines.
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\newblock Machine learning in automated text categorisation.
\newblock Technical Report IEI-B4-31-1999, Istituto di Elaborazione
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\newblock Query by committee.
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\bibitem[Shawe-Taylor and Cristianini(1999)]{ShaweTaylor:COLT99}
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\newblock Further results on the margin distribution.
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\bibitem[Vapnik(1998)]{Vapnik:1998}
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