| Concept learning with geometric hypotheses |
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Annual Workshop on Computational Learning Theory
archive
Proceedings of the eighth annual conference on Computational learning theory
table of contents
Santa Cruz, California, United States
Pages: 329 - 336
Year of Publication: 1995
ISBN:0-89791-723-5
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Authors
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David P. Dobkin
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Department of Computer Science, Princeton University, 35 Olden St., Princeton, NJ
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Dimitrios Gunopulos
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Department of Computer Science, Princeton University, 35 Olden St., Princeton, NJ
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| Bibliometrics |
Downloads (6 Weeks): 12, Downloads (12 Months): 24, Citation Count: 4
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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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B. Chazelle, Geometric Discrepancy Revisited. 34th IEEE Symp. Foundat. Computer Science (1993).
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dB
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M. deBerg, Computing Half-Plane and Strip Discrepancy of Planar Point Sets. Manuscript, (1994).
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DEM
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DGM
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EG
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F93
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F95
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HU
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KSS
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Michael J. Kearns , Robert E. Schapire , Linda M. Sellie, Toward efficient agnostic learning, Proceedings of the fifth annual workshop on Computational learning theory, p.341-352, July 27-29, 1992, Pittsburgh, Pennsylvania, United States
[doi> 10.1145/130385.130424]
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Ma
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Ma2
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W. Maass, private communication.
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MWW
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VC
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V.N. Vapnik and A.Ya. Chervonenkis, On the uniform convergence of relative frequencies of events to their probabilities. Theory Probab. Apphc. 16 (1971), 264-280.
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WGT
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S.M. Weiss and I. Kapouleas, An empirical comparison of pattern recognition, neural nets, and machine learning classification methods. 11th Int. Joint Conf. on Art. Int. (1990), Morgan Kauffmann, 781-787.
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S.M. Weiss and C.A. Kulikowski, Computer Systems that Learn (1991), Morgan Kauffmann.
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