Cause-effect relationships and partially defined Boolean functions
Annals of Operations Research
Computational learning theory: an introduction
Computational learning theory: an introduction
Exact learning Boolean functions via the monotone theory
Information and Computation
Artificial Intelligence
Logical analysis of numerical data
Mathematical Programming: Series A and B - Special issue: papers from ismp97, the 16th international symposium on mathematical programming, Lausanne EPFL
Error-free and best-fit extensions of partially defined Boolean functions
Information and Computation
Logical analysis of binary data with missing bits
Artificial Intelligence
Horn Extensions of a Partially Defined Boolean Function
SIAM Journal on Computing
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
An Implementation of Logical Analysis of Data
IEEE Transactions on Knowledge and Data Engineering
Boolean Analysis of Incomplete Examples
SWAT '96 Proceedings of the 5th Scandinavian Workshop on Algorithm Theory
Monotone Extensions of Boolean Data Sets
ALT '97 Proceedings of the 8th International Conference on Algorithmic Learning Theory
ISI'06 Proceedings of the 4th IEEE international conference on Intelligence and Security Informatics
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In this paper we consider four possible definitions for extending a partially defined Boolean function in which the input contains some missing bits. We show somewhat surprisingly that, for many general and frequently used families of function classes, three of these notions of an extension are mathematically equivalent, though such an equivalence does not hold universally, as demonstrated by several examples.