This paper explores a relationship between parameters for the context tree weighting and weights for a general model weighting technique. In particular, an algorithm is proposed that approximately computes the parameters from the weights, and a condition under which no error for the approximation occurs is derived.
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Joe SUZUKI, "A Relationship between Contex Tree Weighting and General Model Weighting Techniques for Tree Sources" in IEICE TRANSACTIONS on Fundamentals,
vol. E81-A, no. 11, pp. 2412-2417, November 1998, doi: .
Abstract: This paper explores a relationship between parameters for the context tree weighting and weights for a general model weighting technique. In particular, an algorithm is proposed that approximately computes the parameters from the weights, and a condition under which no error for the approximation occurs is derived.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e81-a_11_2412/_p
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@ARTICLE{e81-a_11_2412,
author={Joe SUZUKI, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={A Relationship between Contex Tree Weighting and General Model Weighting Techniques for Tree Sources},
year={1998},
volume={E81-A},
number={11},
pages={2412-2417},
abstract={This paper explores a relationship between parameters for the context tree weighting and weights for a general model weighting technique. In particular, an algorithm is proposed that approximately computes the parameters from the weights, and a condition under which no error for the approximation occurs is derived.},
keywords={},
doi={},
ISSN={},
month={November},}
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TY - JOUR
TI - A Relationship between Contex Tree Weighting and General Model Weighting Techniques for Tree Sources
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2412
EP - 2417
AU - Joe SUZUKI
PY - 1998
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E81-A
IS - 11
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - November 1998
AB - This paper explores a relationship between parameters for the context tree weighting and weights for a general model weighting technique. In particular, an algorithm is proposed that approximately computes the parameters from the weights, and a condition under which no error for the approximation occurs is derived.
ER -