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Guvenir, H.A.
First name(s): H.A.
Last name(s): Guvenir

Publications of Guvenir, H.A. sorted by first author

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Ari, B. and Guvenir, H.A., Clustered linear regression (2002), in: Knowledge Based Systems, 15(169-175)

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H

Guvenir, H.A., An Object-oriented Tutoring System for Teaching Sets (1996), in: SIGCSE Bulletin (ACM Press), 27(39-46)
Guvenir, H.A. and Tunc, A., Corpus-based learning of generalized parse tree rules for translation (1997), in: Lecture Notes on Art Int, 1081(121-131)
Guvenir, H.A. and Erel, E., Multicriteria inventory classification using a genetic algorithm (1997), in: European J Operational Research, 105(29-37)
Guvenir, H.A. and Erel, E., Multicriteria inventory classification using a genetic algorithm (1997), in: European J Operational Research, 105(29-37)
Guvenir, H.A. and Koc, H.G., Concept representation with overlapping feature intervals (1998), in: Cybernetics and Systems: An International Journal, 29(263-282)
Guvenir, H.A. and Cicekli, I., Learning translation templates from examples (1999), in: Information Systems, 23(353-363)
Guvenir, H.A. and Cicekli, I., Learning translation templates from examples (1999), in: Information Systems, 23(353-363)
Guvenir, H.A. and Sirin, I., Classification by Feature Partitioning (1996), in: Machine Learning, 23(47-67)
Guvenir, H.A. and Uysal, I., Regression on feature projections (2001), in: Knowledge-Based Systems, 13(207-214)

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Uysal, I. and Guvenir, H.A., An overview of regression techniques for knowledge discovery (2000), in: Knowledge Engineering Review, 14(319-340)

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Altintas, K. and Guvenir, H.A., Learning translation templates for closely related languages (2005), in: Lecture Notes in Artificial Intelligence, 2773(756-762)

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Ikizler, N. and Guvenir, H.A., Maximizing benefit of classifications using feature intervals (2005), in: Lecture Notes in Artificial Intelligence, 2773(339-345)

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Aydin, T. and Guvenir, H.A., A Novel Hybrid Approach for Interestingness Analysis of Classification Rules (2009), in: Lecture Notes in Artificial Intelligence, 3609(485-496)
Aydin, T. and Guvenir, H.A., Modeling Interestingness of Streaming Classification Rules as Classification Problem (2009), in: Lecture Notes in Artificial Intelligence, 3949(168-176)
Aydin, T. and Guvenir, H.A., An Eager Regression Method Based on Best Feature Projections (2009), in: Lecture Notes in Artificial Intelligence, 2070(217-226)
Aydin, T. and Guvenir, H.A., Learning Interestingness of Streaming Classification Rules (2005), in: Lecture Notes in Computer Science, 3280(62-71)