Jump to content

Rangasami L. Kashyap

From Wikipedia, the free encyclopedia

This is an old revision of this page, as edited by Frode54 (talk | contribs) at 02:57, 11 July 2019 (→‎Selected publications: References should not be written by the person portrayed). The present address (URL) is a permanent link to this revision, which may differ significantly from the current revision.

Rangasami L. Kashyap
Born (1938-03-28) 28 March 1938 (age 86)
NationalityIndian
Alma materHarvard University
Indian Institute of Science
University of Mysore
Scientific career
FieldsPattern recognition
InstitutionsPurdue University
Thesis Pattern Classification and Switching Theory
Doctoral advisorYu-Chi Ho

Rangasami Laksminarayan Kashyap (born 28 March 1938) is an Indian applied mathematician and a Professor of Electrical Engineering at Purdue University.

He developed (with Harvard professor Yu-Chi Ho) the Ho-Kashyap rule, an important result (algorithm) in pattern recognition.

In 1982, he presented the Kashyap information criterion (KIC) to select the best model from a set of mathematical candidate models with different numbers of unknown parameters. These parameters are adjusted to adapt the models to data (observations) that have trends and statistical variation in the measured values.

He is a Fellow of the Institute of Electrical and Electronics Engineers, the International Association for Pattern Recognition, and the Indian Institute of Electronic and Telecommunication Engineers.

He has also authored translations of all the four Vedas, and also numerous books exploring and discussing the hidden meanings behind the Vedic Mantras of all the four Vedas.

Selected publications

Thesis

Articles

  • Kashyap, R.L. 1982; Optimal choice of AR and MA parts in autoregressive moving average models; Article printed in IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI); Published by IEEE; March 1982; volume PAMI-4(2); pages 99-104; https://dx.doi:10.1109/TPAMI.1982.4767213

References

External links