Inductive Logic Programming
Generalization and learnability: A study of constrained atoms
Publication
, Chapter
Page, D; Frisch, D
January 1, 1992
Inductive logic programming is a new research area formed at the intersection of machine learning and logic programming.
Duke Scholars
ISBN
9780125097154
Publication Date
January 1, 1992
Publisher
Morgan Kaufmann
Citation
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Page, D., & Frisch, D. (1992). Generalization and learnability: A study of constrained atoms. In Inductive Logic Programming. Morgan Kaufmann.
Page, David, and David Frisch. “Generalization and learnability: A study of constrained atoms.” In Inductive Logic Programming. Morgan Kaufmann, 1992.
Page D, Frisch D. Generalization and learnability: A study of constrained atoms. In: Inductive Logic Programming. Morgan Kaufmann; 1992.
Page, David, and David Frisch. “Generalization and learnability: A study of constrained atoms.” Inductive Logic Programming, Morgan Kaufmann, 1992.
Page D, Frisch D. Generalization and learnability: A study of constrained atoms. Inductive Logic Programming. Morgan Kaufmann; 1992.
ISBN
9780125097154
Publication Date
January 1, 1992
Publisher
Morgan Kaufmann