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In recent years, machine learning has emerged as a significant area
of research in artificial intelligence and cognitive science. At
present, research in the field is being intensified from both the
point of view of theory and of implementation, and the results are
being introduced in practice. Machine learning has recently become
the subject of interest of many young and talented scientists whose
bold ideas have greatly contributed to the broadening of knowledge
in this rapidly developing field of science. This situation has
manifested itself in an increasing number of valuable contributions
to scientific journals. However, such papers are necessarily
compact descriptions of research problems. "Computational Models of
Learning" supplements these contributions and is a collection of
more extensive essays. These essays provide the reader with an
increased knowledge of carefully selected problems of machine
learning.
This is an EXACT reproduction of a book published before 1923. This
IS NOT an OCR'd book with strange characters, introduced
typographical errors, and jumbled words. This book may have
occasional imperfections such as missing or blurred pages, poor
pictures, errant marks, etc. that were either part of the original
artifact, or were introduced by the scanning process. We believe
this work is culturally important, and despite the imperfections,
have elected to bring it back into print as part of our continuing
commitment to the preservation of printed works worldwide. We
appreciate your understanding of the imperfections in the
preservation process, and hope you enjoy this valuable book.
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