| Analysis of greedy expert hiring and an application to memory-based learning (extended abstract) |
| Full text |
Pdf
(698 KB)
|
| 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: 217 - 223
Year of Publication: 1996
ISBN:0-89791-811-8
|
|
Author
|
|
Igal Galperin
|
Laboratory for Computer Science, Massachusetts Institute of Technology, Cambridge, MA
|
|
| Sponsors |
|
| Publisher |
|
| Bibliometrics |
Downloads (6 Weeks): 15, Downloads (12 Months): 27, Citation Count: 0
|
|
|
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.
 |
1
|
|
| |
2
|
Avrim Blum , Lisa Hellerstein , Nick Littlestone, Learning in the presence of finitely or infinitely many irrelevant attributes, Proceedings of the fourth annual workshop on Computational learning theory, p.157-166, August 05-07, 1991, Santa Cruz, California, United States
|
| |
3
|
V. Chv~tal. A greedy heuristic for the set-covering problem. Mathematics of Operations Research, 4(3):233-235, 1979.
|
| |
4
|
G. Comuejols, M.L. Fisher, and G.L. Nemhauser. Location of bank accounts to optimize float: An analytical study of exact and approximate algorithms. Management Science, 23:789-810, 1977.
|
| |
5
|
George B. Dantzig. Activity Analysis of Production and Allocation, chapter Programming of Interdependent Activities, II, Mathematical Models, pages 19-32. John Wiley and Sons Inc., New York, 1951.
|
| |
6
|
M.L. Fisher and D.S. Hochbaum. Probabilistic analysis of the planar k-median problem. Mathematics of Operations Research, 5(1):265-294, Feb 1980.
|
| |
7
|
|
| |
8
|
|
| |
9
|
|
| |
10
|
D. S. Johnson. Approximation algorithms for combinatorial problems. Journal of Computer and System Sciences, 9:256-278, 1974.
|
| |
11
|
|
| |
12
|
L.G.Khachiyan. A polynomial algorithm in linear programming. Soviet Mathematics Doklady, 20:191-194, 1979.
|
 |
13
|
|
 |
14
|
|
| |
15
|
|
| |
16
|
L.H. Loomis and S. Stemberg. Advanced Calculus. Addison-Wesley, 1968.
|
 |
17
|
|
| |
18
|
D. Marr. A theory for cerebral neocortex. In Proceedings of the Royal Society of London B., 176, pages 161-234, 1970.
|
| |
19
|
N. Megiddo and K.J. Supowit. On the complexity of some common geometric location problems. Siam Journal on Computing, 13:182-196, 1984.
|
| |
20
|
G.L. Nemhauser and L.A. Wolsey. Best algorithms for approximating the maximum of a submodular set function. Mathematics of Operations Research, 3(3): 177-188, 1978.
|
| |
21
|
G.L. NemhauserandL.A. Wolsey. Maximizingsubmodular set functions: Formulations and analysis of algorithms. In P. Hansen, editor, Studies on Graphs and Discrete Programming, volume 11 of Annals of Discrete Mathematics, pages 279-301. North-Holland, 1981.
|
| |
22
|
G.L. Nemhauser, L.A. Wolsey, and M.L. Fisher. An analysis of approximations for maximizing submodular set functions-I. Mathematical Programming, 14:265-294, 1978.
|
| |
23
|
Guillermo Owen. Game Theory. Academic Press, 1982.
|
| |
24
|
C.H. Papadimitriou. Worst-case and probabilistic analysis of a geometric location problem. Siam Journal on Computing, 10:542-557, 1981.
|
| |
25
|
Lloyd S. Shapley. Cores of convex games. International Journal of Game Theory, 1(1): 11-26, 1971.
|
|