Mapping subsets of scholarly information

Proceedings of the National Academy of Sciences of the United States of America

Volumn 101, Issue SUPPL. 1, 2004, Pages 5236-5240

  Ginsparg, Paul ^a   Houle, Paul ^a   Joachims, Thorsten ^a   Sul, Jae Hoon ^a  

^a Department of Obstetrics Gynecology   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATION; COMPUTER; CONFERENCE PAPER; DATA BASE; INFORMATION PROCESSING; INTERNET; LEARNING; MACHINE; PRIORITY JOURNAL; RESEARCH;

EID: 1842738369     PISSN: 00278424     EISSN: None     Source Type: Journal    
DOI: 10.1073/pnas.0308253100     Document Type: Article

References (17)

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2. Ginsparg, P. (2003) Sci. Technol. Libraries 22, 5-18, preprint available at http://arXiv.org/blurb/pg02pr.html.
3. O'Connell, H. B. (2002) http://arXiv.org/physics/0007040.
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5. Hayes, P. & Weinstein, S. (1990) in Proceedings of LAAI-90, 2nd Conference on Innovative Applications of Artificial Intelligence, eds. Rappaport, A. & Smith, R. (AAAI Press, Menlo Park, CA), pp. 49-66.
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7. Porter, M. (1980) Program (Autom. Libr. Inf. Syst.) 14, 130-137.
8. Vapnik, V. (1998) Statistical Learning Theory (Wiley, Chichester, U.K.).
9. Dumais, S., Platt, J., Heckerman, D. & Sahami, M. (1998) in Proceedings of CIKM-98, Seventh ACM International ACM Conference in Information and Knowledge Managment (Association for Computing Machinery, New York), pp. 148-155.
10. Joachims, T. (1998) in Proceedings of the European Conference on Machine Learning (Springer. Berlin), pp. 137-142.
11. Joachims, T. (2002) Learning to Classify Text Using Support Vector Machines: Methods, Theory, and Algorithms (Kluwer, Dordrecht, The Netherlands).
12. Burges, C. (1998) Data Mining Knowledge Discovery 2, 121-167.
13. Cristianini, N. & Shawe-Taylor, J. (2000) An Introduction to Support Vector Machines and Other Kernel-Based Learning Methods (Cambridge Univ. Press, NY).
14. Landauer, T. K. & Dumais, S. T. (1997) Psychol. Rev. 104, 211-240.
15. Griffiths, T. L. & Steyvers, M. (2004) Proc. Natl. Acad. Sci. USA 101, 5228-5235.
16. Platt, J. (1999) in Advances in Large Margin Classifiers (MIT Press, Cambridge, MA), pp. 61-74.
17. Guyon, I., Matic, N. & Vapnik, V. (1996) in Advances in Knowledge Discovery and Data Mining (MIT Press, Cambridge, MA; AAAI Press, Menlo Park, CA), pp. 181-203.