The Relevance of Bias in the Revision of Approximate Domain Theories

R Feldman; M. Koppel; A. M. Segre

The Relevance of Bias in the Revision of Approximate Domain Theories

R Feldman
, M. Koppel
, A. M. Segre

Department of Computer Science and Artificial Intelligence

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Original language	American English
Title of host publication	Working Notes of the 1993 IJCAI Workshop on Machine Learning and Knowledge Acquisition: Common Issues, Contrasting Methods, and Integrated Approaches
State	Published - 1993

Bibliographical note

Place of conference:France

Cite this

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title = "The Relevance of Bias in the Revision of Approximate Domain Theories",

author = "R Feldman and M. Koppel and Segre, \{A. M.\}",

note = "Place of conference:France",

year = "1993",

language = "American English",

booktitle = "Working Notes of the 1993 IJCAI Workshop on Machine Learning and Knowledge Acquisition: Common Issues, Contrasting Methods, and Integrated Approaches",

}

The Relevance of Bias in the Revision of Approximate Domain Theories. / Feldman, R; Koppel, M.; Segre, A. M.
Working Notes of the 1993 IJCAI Workshop on Machine Learning and Knowledge Acquisition: Common Issues, Contrasting Methods, and Integrated Approaches. 1993.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Koppel, M.

AU - Segre, A. M.

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PY - 1993

Y1 - 1993

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M3 - Conference contribution

BT - Working Notes of the 1993 IJCAI Workshop on Machine Learning and Knowledge Acquisition: Common Issues, Contrasting Methods, and Integrated Approaches

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The Relevance of Bias in the Revision of Approximate Domain Theories

Bibliographical note

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Cite this