-
2
-
-
0003487046
-
-
Cambridge Univ. Press, Cambridge, UK
-
Anthony, M., and Biggs, N. (1992), "Computational Learning Theory," Cambridge Univ. Press, Cambridge, UK.
-
(1992)
Computational Learning Theory
-
-
Anthony, M.1
Biggs, N.2
-
4
-
-
85028925878
-
Proof verification and hardness of approximation problems
-
Arora, A., Lund, C., Motwani, R., Sudan, M., and Szegedy, M. (1992), Proof verification and hardness of approximation problems, in "Proc. 33rd IEEE Symp. Found. Comp. Sci.," pp. 14-23.
-
(1992)
Proc. 33rd IEEE Symp. Found. Comp. Sci.
, pp. 14-23
-
-
Arora, A.1
Lund, C.2
Motwani, R.3
Sudan, M.4
Szegedy, M.5
-
5
-
-
0027308413
-
Efficient probabilistically checkable proofs and applications to approximation
-
Bellare, M., Goldwasser, S., Lund, C., and Russel, A. (1993), Efficient probabilistically checkable proofs and applications to approximation, in "Proc. 25th ACM Symp. on Theory of Computing," pp. 294-304.
-
(1993)
Proc. 25th ACM Symp. on Theory of Computing
, pp. 294-304
-
-
Bellare, M.1
Goldwasser, S.2
Lund, C.3
Russel, A.4
-
6
-
-
0024750852
-
Learnability and the Vapnik-Chervonenkis Dimension
-
Blumer, A., Ehrenfeucht, A., Haussler, D., and Warmuth, M. (1989), Learnability and the Vapnik-Chervonenkis Dimension, J. Assoc. Comput. Mach. 35, 929-965.
-
(1989)
J. Assoc. Comput. Mach.
, vol.35
, pp. 929-965
-
-
Blumer, A.1
Ehrenfeucht, A.2
Haussler, D.3
Warmuth, M.4
-
7
-
-
0003802343
-
-
Wadsworth, Belmont, CA
-
Breiman, L., Friedman, J., Olshen, R., and Stone, C. (1984), "Classification and Regression Trees," Wadsworth, Belmont, CA.
-
(1984)
Classification and Regression Trees
-
-
Breiman, L.1
Friedman, J.2
Olshen, R.3
Stone, C.4
-
8
-
-
0347670077
-
Learning decision trees from random examples
-
Ehrenfeucht, A., and Haussler, D. ( 1988), Learning decision trees from random examples, in "Proc. 1st COLT."
-
(1988)
Proc. 1st COLT
-
-
Ehrenfeucht, A.1
Haussler, D.2
-
10
-
-
0024082469
-
Quantifying inductive bias: AI learning algorithms and Valiant's learning framework
-
Haussler, D. (1988), Quantifying inductive bias: AI learning algorithms and Valiant's learning framework, Artif. Intell. 36, No. 2, 177-222.
-
(1988)
Artif. Intell.
, vol.36
, Issue.2
, pp. 177-222
-
-
Haussler, D.1
-
11
-
-
0001815269
-
Constructing optimal decision trees is NP-complete
-
Hyafil, L., and Rivest, R. (1976), Constructing optimal decision trees is NP-complete, Inform. Process. Lett. 5, No. 1, 15-17.
-
(1976)
Inform. Process. Lett.
, vol.5
, Issue.1
, pp. 15-17
-
-
Hyafil, L.1
Rivest, R.2
-
12
-
-
0023545078
-
On the learnability of Boolean functions
-
Kearns, M., Li, M., Pitt, L., and Valiant, L. (1987), On the learnability of Boolean functions, in "Proc. 19th ACM Symp. on Theory of Computing," pp. 285-295.
-
(1987)
Proc. 19th ACM Symp. on Theory of Computing
, pp. 285-295
-
-
Kearns, M.1
Li, M.2
Pitt, L.3
Valiant, L.4
-
13
-
-
0026963290
-
Learning hierarchical rule sets
-
Kivinen, J., Mannila, H., and Ukkonen, E., Learning hierarchical rule sets, in "COLT' 92," pp. 37-44.
-
COLT' 92
, pp. 37-44
-
-
Kivinen, J.1
Mannila, H.2
Ukkonen, E.3
-
15
-
-
34249966833
-
An empirical comparison of selection measures for decision-tree induction
-
Mingers, J. ( 1989), An empirical comparison of selection measures for decision-tree induction, Mach. Learning 3, 319-342.
-
(1989)
Mach. Learning
, vol.3
, pp. 319-342
-
-
Mingers, J.1
-
16
-
-
33744584654
-
Induction of decision trees
-
Quinlan, J. R. (1986), Induction of decision trees, Mach. Learning 1, 81-106.
-
(1986)
Mach. Learning
, vol.1
, pp. 81-106
-
-
Quinlan, J.R.1
-
17
-
-
0024627518
-
Inferring decision trees using the minimum description length principle
-
Quinlan, J. R., and Rivest, R. (1989), Inferring decision trees using the minimum description length principle, Inform. and Comput. 80, 227-248.
-
(1989)
Inform. and Comput.
, vol.80
, pp. 227-248
-
-
Quinlan, J.R.1
Rivest, R.2
-
18
-
-
84898928682
-
Optimization, approximation, and complexity classes, Extended abstract
-
Papadimitriou, C. H., and Yannakakis, M. (1991), Optimization, approximation, and complexity classes, Extended abstract in "Proc. 20th ACM Symp. on Theory of Computing," pp. 229-234; full version in J. Comput. System Sci. 43, 425-440.
-
(1991)
Proc. 20th ACM Symp. on Theory of Computing
, pp. 229-234
-
-
Papadimitriou, C.H.1
Yannakakis, M.2
-
19
-
-
85030004156
-
-
Papadimitriou, C. H., and Yannakakis, M. (1991), Optimization, approximation, and complexity classes, Extended abstract in "Proc. 20th ACM Symp. on Theory of Computing," pp. 229-234; full version in J. Comput. System Sci. 43, 425-440.
-
J. Comput. System Sci.
, vol.43
, pp. 425-440
-
-
-
20
-
-
0024092215
-
Computational limitations on learning from examples
-
Pitt, L., and Valiant, L. (1988), Computational limitations on learning from examples, J. Assoc. Comput. Mach. 35, No. 4, 965-984.
-
(1988)
J. Assoc. Comput. Mach.
, vol.35
, Issue.4
, pp. 965-984
-
-
Pitt, L.1
Valiant, L.2
-
21
-
-
1442267080
-
Learning decision lists
-
Rivest, R. (1987), Learning decision lists, Mach. Learning 2, 229-246.
-
(1987)
Mach. Learning
, vol.2
, pp. 229-246
-
-
Rivest, R.1
-
22
-
-
0021518106
-
A theory of the learnable
-
Valiant, L. (1984), A theory of the learnable, Comm. ACM 27, 1134-1142.
-
(1984)
Comm. ACM
, vol.27
, pp. 1134-1142
-
-
Valiant, L.1
-
23
-
-
85013576689
-
Theory and applications of agnostic PAC-learning with small decision trees
-
Auer, P., Holte, R. C., and Maass, W. (1995), Theory and applications of agnostic PAC-learning with small decision trees, in "Proc. of the 12th Internat. Machine Learning Conference, Tahoe City," pp. 21-29.
-
(1995)
Proc. of the 12th Internat. Machine Learning Conference, Tahoe City
, pp. 21-29
-
-
Auer, P.1
Holte, R.C.2
Maass, W.3
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