Your search returned 4 results.

Results
	1.	No cover image available Bayes optimal feature selection for supervised learning by C G Saneem Ahmed by Saneem Ahmed, C G Advised by Agarwal, Shivani Advised by Veni Madhavan, C. E Material type: Text; Format: print ; Literary form: Not fiction Publication details: Bangalore : Indian Institute of Science, 2014 Dissertation note: MSc(Engg);2014;Computer Science and Automation Availability: Items available for reference: JRD Tata Memorial Library: Not for loan (1)Call number: 006.31 P14.
	2.	No cover image available Learning with complex performance measures: Theory, algorithms and applications by Narasimhan, Harikrishna Advised by Agarwal, Shivani Material type: Text; Format: print ; Literary form: Not fiction Publication details: Bangalore : Indian Institute of Science, 2016 Dissertation note: PhD;2016;Computer Science and Automation Availability: Items available for reference: JRD Tata Memorial Library: Not for loan (1)Call number: 004.35015181 P16.
	3.	No cover image available Design and analysis of consistent algorithms for multiclass learning problems by Ramaswamy, Harish Guruprasad Advised by Agarwal, Shivani Material type: Text; Format: print ; Literary form: Not fiction Publication details: Bangalore : Indian Institute of Science, 2015 Dissertation note: PhD(Engg);2015;Computer Science and Automation Availability: Items available for reference: JRD Tata Memorial Library: Not for loan (1)Call number: 006.31 P15.
	4.	No cover image available Learning tournament solution from performance-based multi-armed bandits by Y R Siddartha by Siddartha, Y R Advised by Agarwal, Shivani Material type: Text; Format: print ; Literary form: Not fiction Publication details: Bangalore : Indian Institute of Science, 2017 Dissertation note: PhD;2017;Computer Science and Automation Availability: Items available for reference: JRD Tata Memorial Library: Not for loan (1)Call number: 006.3 P17 .

Copyright © 2024. J.R.D. Tata Memorial Library, Indian Institute of Science, Bengaluru - 560012
Contact Phone: +91 80 2293 2832