An adaptive learning solution to the keyboard optimization problem. Oommen, B. J., Valiveti, R. S., & Zgierski, J. R. 21(6):1608–1618. doi abstract bibtex The authors consider the problem of assigning more than one symbol of a finite alphabet A to the same key on a keyboard. Since multiple symbols of the alphabet A reside on the same key, the representations of all the words in a finite dictionary H need not be unique. The problem is one of optimally assigning the symbols of the alphabet to the keys of a given keyboard with a view to minimize the total number of words that have ambiguous representation. The problem is proven to be NP-hard. After presenting the only reported solution to the problem, a fast learning-automaton-based solution to this problem is reported. Experimental results demonstrating the power of this solution are presented.\textless\textgreater
@Article{ oommen_adaptive_1991,
title = {An adaptive learning solution to the keyboard optimization
problem},
volume = {21},
issn = {0018-9472},
doi = {10.1109/21.135704},
abstract = {The authors consider the problem of assigning more than
one symbol of a finite alphabet A to the same key on a
keyboard. Since multiple symbols of the alphabet A reside
on the same key, the representations of all the words in a
finite dictionary H need not be unique. The problem is one
of optimally assigning the symbols of the alphabet to the
keys of a given keyboard with a view to minimize the total
number of words that have ambiguous representation. The
problem is proven to be {NP}-hard. After presenting the
only reported solution to the problem, a fast
learning-automaton-based solution to this problem is
reported. Experimental results demonstrating the power of
this solution are presented.{\textless}{\textgreater}},
pages = {1608--1618},
number = {6},
journaltitle = {{IEEE} Transactions on Systems, Man, and Cybernetics},
author = {Oommen, B. J. and Valiveti, R. S. and Zgierski, J. R.},
date = {1991-11}
}
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