\begin{thebibliography}{28}
\expandafter\ifx\csname natexlab\endcsname\relax\def\natexlab#1{#1}\fi

\bibitem[Burges(1998)]{Burges:1998}
C.~J.C. Burges.
\newblock A tutorial on support vector machines for pattern recognition.
\newblock {\em Data Mining and Knowledge Discovery}, 2:\penalty0 121--167,
  1998.

\bibitem[Campbell et~al.(2000)Campbell, Cristianini, and
  Smola]{Campbell+al:2000}
C.~Campbell, N.~Cristianini, and A.~Smola.
\newblock Query learning with large margin classifiers.
\newblock In {\em Proceedings of the Seventeenth International Conference on
  Machine Learning}, 2000.

\bibitem[Cauwenberghs and Poggio(2001)]{Gert:NIPS00}
G~Cauwenberghs and T.~Poggio.
\newblock Incremental and decremental support vector machine learning.
\newblock In {\em Advances in Neural Information Processing Systems},
  volume~13, 2001.

\bibitem[Cortes and Vapnik(1995)]{Cortes+Vapnik:ML95}
C.~Cortes and V.~Vapnik.
\newblock Support vector networks.
\newblock {\em Machine Learning}, 20:\penalty0 1--25, 1995.

\bibitem[Dagan and Engelson(1995)]{Dagan+Engelson:ICML95}
I.~Dagan and S.~Engelson.
\newblock Committee-based sampling for training probabilistic classifiers.
\newblock In {\em Proceedings of the Twelfth International Conference on
  Machine Learning}, pages 150--157. Morgan Kaufmann, 1995.

\bibitem[Dumais et~al.(1998)Dumais, Platt, Heckerman, and
  Sahami]{Dumais+al:CIKM98}
S.T. Dumais, J.~Platt, D.~Heckerman, and M.~Sahami.
\newblock Inductive learning algorithms and representations for text
  categorization.
\newblock In {\em Proceedings of the Seventh International Conference on
  Information and Knowledge Management}. ACM Press, 1998.

\bibitem[Freund et~al.(1997)Freund, Seung, Shamir, and Tishby]{Freund+al:ML97}
Y.~Freund, H.~Seung, E.~Shamir, and N.~Tishby.
\newblock Selective sampling using the query by committee algorithm.
\newblock {\em Machine Learning}, 28:\penalty0 133--168, 1997.

\bibitem[Heckerman et~al.(1994)Heckerman, Breese, and
  Rommelse]{Heckerman+al:94}
D.~Heckerman, J.~Breese, and K.~Rommelse.
\newblock {T}roubleshooting {U}nder {U}ncertainty.
\newblock Technical Report MSR-TR-94-07, Microsoft Research, 1994.

\bibitem[Herbrich et~al.(2001)Herbrich, Graepel, and Campbell]{Herbrich+al}
R.~Herbrich, T.~Graepel, and C.~Campbell.
\newblock Bayes point machines.
\newblock {\em Journal of Machine Learning Research}, pages 245--279, 2001.

\bibitem[Horvitz and Rutledge(1991)]{Horvitz+Rutledge:91}
E.~Horvitz and G.~Rutledge.
\newblock Time dependent utility and action under uncertainty.
\newblock In {\em Proceedings of the Seventh Conference on Uncertainty in
  Artificial Intelligence}. Morgan Kaufmann, 1991.

\bibitem[Joachims(1998)]{Joachims:ECML97}
T.~Joachims.
\newblock Text categorization with support vector machines.
\newblock In {\em Proceedings of the European Conference on Machine Learning}.
  Springer-Verlag, 1998.

\bibitem[Joachims(1999{\natexlab{a}})]{JoachimsSVMlight:1999}
T.~Joachims.
\newblock Making large-scale svm learning practical.
\newblock In B.~Sch{\"{o}}lkopf, C.~Burges, and A.~Smola, editors, {\em
  Advances in Kernel Methods - Support Vector Learning}. MIT Press,
  1999{\natexlab{a}}.

\bibitem[Joachims(1999{\natexlab{b}})]{Joachims:ICML99}
T.~Joachims.
\newblock Transductive inference for text classification using support vector
  machines.
\newblock In {\em Proceedings of the Sixteenth International Conference on
  Machine Learning}, pages 200--209. Morgan Kaufmann, 1999{\natexlab{b}}.

\bibitem[Lang(1995)]{Lang95}
K.~Lang.
\newblock Newsweeder: Learning to filter netnews.
\newblock In {\em International Conference on Machine Learning}, pages
  331--339, 1995.

\bibitem[Latombe(1991)]{Latombe:1991}
Jean-Claude Latombe.
\newblock {\em Robot Motion Planning}.
\newblock Kluwer Academic Publishers, 1991.

\bibitem[Lewis and Catlett(1994)]{Lewis:ICML94}
D.~Lewis and J.~Catlett.
\newblock Heterogeneous uncertainty sampling for supervised learning.
\newblock In {\em Proceedings of the Eleventh International Conference on
  Machine Learning}, pages 148--156. Morgan Kaufmann, 1994.

\bibitem[Lewis and Gale(1994)]{Lewis:SIGIR94}
D.~Lewis and W.~Gale.
\newblock A sequential algorithm for training text classifiers.
\newblock In {\em Proceedings of the Seventeenth Annual International ACM-SIGIR
  Conference on Research and Development in Information Retrieval}, pages
  3--12. Springer-Verlag, 1994.

\bibitem[McAllester(1999)]{McAllester:COLT99}
D.~McAllester.
\newblock {PAC}-{B}ayesian model averaging.
\newblock In {\em Proceedings of the Twelfth Annual Conference on Computational
  Learning Theory}, 1999.

\bibitem[McCallum(1996)]{Libbow}
A.~McCallum.
\newblock Bow: A toolkit for statistical language modeling, text retrieval,
  classification and clustering.
\newblock www.cs.cmu.edu/\symbol{126}mccallum/bow, 1996.

\bibitem[McCallum and Nigam(1998)]{McCallum+Nigam:ICML98}
A.~McCallum and K.~Nigam.
\newblock Employing {EM} in pool-based active learning for text classification.
\newblock In {\em Proceedings of the Fifteenth International Conference on
  Machine Learning}. Morgan Kaufmann, 1998.

\bibitem[Mitchell(1982)]{Mitchell:AI82}
T.~Mitchell.
\newblock Generalization as search.
\newblock {\em Artificial Intelligence}, 28:\penalty0 203--226, 1982.

\bibitem[Rocchio(1971)]{Rocchio}
J.~Rocchio.
\newblock Relevance feedback in information retrieval.
\newblock In G.~Salton, editor, {\em The {SMART} retrieval system:
  {E}xperiments in automatic document processing}. Prentice-Hall, 1971.

\bibitem[Schohn and Cohn(2000)]{Schohn+Cohn:2000}
G.~Schohn and D.~Cohn.
\newblock Less is more: Active learning with support vector machines.
\newblock In {\em Proceedings of the Seventeenth International Conference on
  Machine Learning}, 2000.

\bibitem[Sebastiani(2001)]{Sebastiani:2001}
Fabrizio Sebastiani.
\newblock Machine learning in automated text categorisation.
\newblock Technical Report IEI-B4-31-1999, Istituto di Elaborazione
  dell'Informazione, 2001.

\bibitem[Seung et~al.(1992)Seung, Opper, and Sompolinsky]{Seung+al:COLT92}
H.S. Seung, M.~Opper, and H.~Sompolinsky.
\newblock Query by committee.
\newblock In {\em Proceedings of Computational Learning Theory}, pages
  287--294, 1992.

\bibitem[Shawe-Taylor and Cristianini(1999)]{ShaweTaylor:COLT99}
J.~Shawe-Taylor and N.~Cristianini.
\newblock Further results on the margin distribution.
\newblock In {\em Proceedings of the Twelfth Annual Conference on Computational
  Learning Theory}, pages 278--285, 1999.

\bibitem[Vapnik(1982)]{Vapnik:1982}
V.~Vapnik.
\newblock {\em Estimation of Dependences Based on Empirical Data}.
\newblock Springer Verlag, 1982.

\bibitem[Vapnik(1998)]{Vapnik:1998}
V.~Vapnik.
\newblock {\em Statistical Learning Theory}.
\newblock Wiley, 1998.

\end{thebibliography}
