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Concept learning with geometric hypotheses
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Source 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
Authors
David P. Dobkin  Department of Computer Science, Princeton University, 35 Olden St., Princeton, NJ
Dimitrios Gunopulos  Department of Computer Science, Princeton University, 35 Olden St., Princeton, NJ
Sponsors
SIGACT: ACM Special Interest Group on Algorithms and Computation Theory
SIGART: ACM Special Interest Group on Artificial Intelligence
University of California : University of California
Publisher
ACM  New York, NY, USA
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.

 
AL
 
BN
 
C
B. Chazelle, Geometric Discrepancy Revisited. 34th IEEE Symp. Foundat. Computer Science (1993).
 
dB
M. deBerg, Computing Half-Plane and Strip Discrepancy of Planar Point Sets. Manuscript, (1994).
DEM
 
DGM
 
EG
 
F93
F95
 
Ha
 
Ho
 
HU
KSS
Ma
 
Ma2
W. Maass, private communication.
 
MWW
V
 
VC
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.
 
WGT
 
WK90
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.
 
WK91
S.M. Weiss and C.A. Kulikowski, Computer Systems that Learn (1991), Morgan Kauffmann.
 
W
E. Welzl, personal communication.


Collaborative Colleagues:
David P. Dobkin: colleagues
Dimitrios Gunopulos: colleagues