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Learning conjunctions of two unate DNF formulas (extended abstract): computational and informational results
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Source Annual Workshop on Computational Learning Theory archive
Proceedings of the ninth annual conference on Computational learning theory table of contents
Desenzano del Garda, Italy
Pages: 255 - 265  
Year of Publication: 1996
ISBN:0-89791-811-8
Authors
Aaron Feigelson  Department of EECS, Northwestern University, Evanston, IL
Lisa Hellerstein  Department of EECS, Northwestern University, Evanston, IL
Sponsors
Univ degli Studi de Milano : Universite degli Studi de Milano
SIGACT: ACM Special Interest Group on Algorithms and Computation Theory
SIGART: ACM Special Interest Group on Artificial Intelligence
Publisher
ACM  New York, NY, USA
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REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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D. Angluin. Learning k-term dnf formulas using queries and counterexamples. Technical Report YALE/DCS/RR-559, Yale University, ~987.
 
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N. Bshouty. Exact learning via the monotone theory. In Proceedings of the 34th Annual Symposium on Foundations of Computer Science, pages 302-311, Los Alamitos, CA, November 1993. IEEE Computer Society Press.
 
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O. Ekin, P. Hammer, and U. Peled. Horn functions and submodular boolean functions. Technical Report RRR!-95, Rutgers Center for Operations Research, January 1995.
 
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Collaborative Colleagues:
Aaron Feigelson: colleagues
Lisa Hellerstein: colleagues