Bayesian Learning & Estimation Theory. Maximum likelihood estimation L = Example: For Gaussian likelihood P(x| ) = N (x|, 2 ), Objective of regression:
Pattern Classification & Decision Theory. How are we doing on the pass sequence? Bayesian regression and estimation enables us to track the man in the.
Nitin Kumar Yadav RMIT University, Melbourne [email protected] Minor thesis for semester 2, 2009, under the supervision of Dr. Sebastian.
VEhicle COntrol and Navigation) An After Seismic Disaster Application VECON (VEhicle COntrol and Navigation) An After Seismic Disaster Application Laboratory.
