Extended probe method for linkage discovery over high-cardinality alphabets
Author(s) -
Shude Zhou,
Zengqi Sun,
Robert B. Heckendorn
Publication year - 2007
Publication title -
citeseer x (the pennsylvania state university)
Language(s) - English
Resource type - Conference proceedings
DOI - 10.1145/1276958.1277228
Subject(s) - cardinality (data modeling) , boolean function , linkage (software) , generalization , function (biology) , string (physics) , binary number , algorithm , fourier transform , mathematics , computer science , discrete mathematics , theoretical computer science , data mining , mathematical analysis , biochemistry , chemistry , arithmetic , evolutionary biology , biology , gene , mathematical physics
The work addresses the problem of identifying the epistatic linkage of a function from high cardinality alphabets to the real numbers. It is a generalization of Heckendorn and Wright's work that restricts problem representation into the binary-string domain. Discrete Fourier transform is used to analyze underlying structure in high-cardinality alphabets space. Boolean operators are replaced with new operators such as ⊕, ⊖, ⊗ and so on in high cardinality alphabets. The "probe" formulation is redesigned to determine epistatic properties of non-binary function. Theoretical analysis shows the close relationship between probe value and problem structure. A deterministic and a stochastic algorithm based on properties of probes are proposed to completely identify the linkage structure and rigourously compute all Fourier coefficients. Some discussion about linkage detection for continuous problems is given.
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