  In this paper, the authors report a way to use concepts from statistical
learning to gain an advantage in terms of error exponents while communicating
over a discrete memoryless channel. The study utilizes the simulation
capability of the scientific computing package MATLAB to show that the proposed
decoding method performs better than the traditional method of joint typicality
decoding. The advantage is secured by modifying the traditional specification
of what constitutes a decoding error. This is justified by the paradigm, also
used in the program of `utilizing' noisy feedback, that one ought not to
declare a condition as an error if some further processing can extract useful
information from it.
