Sanjeev Ramesh Kulkarni
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Sanjeev Ramesh Kulkarni

Calculated based on number of publications stored in Pure and citations from Scopus
1986 …2024

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  • 2011

    Statistical Learning Theory as a Framework for the Philosophy of Induction

    Harman, G. & Kulkarni, S., 2011, Philosophy of Statistics. Elsevier, p. 833-847 15 p.

    Research output: Chapter in Book/Report/Conference proceeding › Chapter

    4 Scopus citations
  • 2007

    Distributed Learning in Wireless Sensor Networks

    Predd, J. B., Kulkarni, S. R. & Poor, H. V., Oct 2 2007, Wireless Sensor Networks: Signal Processing and Communications Perspectives. John Wiley & Sons, Ltd, p. 185-214 30 p.

    Research output: Chapter in Book/Report/Conference proceeding › Chapter

    Open Access
    9 Scopus citations
  • 1996

    Complexity of model classes and smoothing noisy data

    Bartlett, P. L. & Kulkarni, S. R., 1996, Proceedings of the IEEE Conference on Decision and Control. Anon (ed.). p. 2312-2317 6 p. (Proceedings of the IEEE Conference on Decision and Control; vol. 2).

    Research output: Chapter in Book/Report/Conference proceeding › Chapter

    1 Scopus citations

  • Weighted averaging and stochastic approximation

    Wang, I. J., Chong, E. K. P. & Kulkarni, S. R., 1996, Proceedings of the IEEE Conference on Decision and Control. Anon (ed.). (Proceedings of the IEEE Conference on Decision and Control; vol. 1).

    Research output: Chapter in Book/Report/Conference proceeding › Chapter

    2 Scopus citations