Minimum Cross-Entropy Reasoning: A Statistical Justification
Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence. Reasoning Under Uncertainty. Pages 1847-1851.
Abstract
Degrees of belief are formed using observed evidence and statistical background information. In this paper we examine the process of how prior degrees of belief derived from the evidence are combined with statistical data to form more specific degrees of belief. A statistical model for this process then is shown to vindicate the cross-entropy minimization principle as a rule for probabilistic default-inference.
Manfred Jaeger. 1995. Minimum Cross-Entropy Reasoning: A Statistical Justification. In Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, IJCAI-95. IJCAI, 1847–1851. https://ijcai.org/proceedings/1995/237
Jaeger, M. (1995). Minimum Cross-Entropy Reasoning: A Statistical Justification. In Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, IJCAI-95 (pp. 1847–1851). IJCAI. https://ijcai.org/proceedings/1995/237
@inproceedings{ijcai1995p237,
title = {Minimum Cross-Entropy Reasoning: A Statistical Justification},
author = {Jaeger, Manfred},
booktitle = {Proceedings of the Fourteenth International Joint Conference on
Artificial Intelligence, {IJCAI-95}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Chris S. Mellish},
pages = {1847--1851},
year = {1995},
note = {Reasoning Under Uncertainty},
url = {https://ijcai.org/proceedings/1995/237},
}
TY - CPAPER TI - Minimum Cross-Entropy Reasoning: A Statistical Justification AU - Jaeger, Manfred T2 - Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, IJCAI-95 PB - International Joint Conferences on Artificial Intelligence PY - 1995 SP - 1847 EP - 1851 UR - https://ijcai.org/proceedings/1995/237 ER -Copied
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