-
2
-
-
0000710299
-
Queries and concept learning
-
Angluin, D. (1988). Queries and concept learning. Machine Learning, 2(4), 319-342.
-
(1988)
Machine Learning
, vol.2
, Issue.4
, pp. 319-342
-
-
Angluin, D.1
-
3
-
-
0027341861
-
Learning read-once formulas with queries
-
Angluin, D., Hellerstein, L., & Karpinski, M. (1993). Learning read-once formulas with queries. Journal of the ACM, 40(1), 185-210.
-
(1993)
Journal of the ACM
, vol.40
, Issue.1
, pp. 185-210
-
-
Angluin, D.1
Hellerstein, L.2
Karpinski, M.3
-
4
-
-
0029293093
-
When won't membership queries help?
-
Angluin, D., & Kharitonov, M. (1995). When won't membership queries help?. Journal of Computer and Systems Sciences, 50(2), 336-355.
-
(1995)
Journal of Computer and Systems Sciences
, vol.50
, Issue.2
, pp. 336-355
-
-
Angluin, D.1
Kharitonov, M.2
-
5
-
-
0343541976
-
Extending theory refinement to m-of-n rules
-
Baffes, P., & Mooney, R. (1993). Extending theory refinement to m-of-n rules. Informatica, 17, 387-397.
-
(1993)
Informatica
, vol.17
, pp. 387-397
-
-
Baffes, P.1
Mooney, R.2
-
6
-
-
0024750852
-
Learnability and the Vapnik-Chervonenkis dimension
-
Blumer, A., Ehrenfeucht, A., Haussler, D., & Warmuth, M. (1989). Learnability and the Vapnik-Chervonenkis dimension. Journal of the ACM, 36(4), 929-965.
-
(1989)
Journal of the ACM
, vol.36
, Issue.4
, pp. 929-965
-
-
Blumer, A.1
Ehrenfeucht, A.2
Haussler, D.3
Warmuth, M.4
-
7
-
-
0026976842
-
Learning Boolean read-once formulas with arbitrary symmetric and constant fan-in gates
-
Pittsburgh, PA: ACM Press
-
Bshouty, N., Hancock, T., & Hellerstein, L. (1992). Learning Boolean read-once formulas with arbitrary symmetric and constant fan-in gates. In Proceedings of the Fifth Annual ACM Workshop on Computational Learning Theory, (pp. 1-15). Pittsburgh, PA: ACM Press.
-
(1992)
Proceedings of the Fifth Annual ACM Workshop on Computational Learning Theory
, pp. 1-15
-
-
Bshouty, N.1
Hancock, T.2
Hellerstein, L.3
-
8
-
-
0029326814
-
Learning Boolean read-once formulas over generalized bases
-
Bshouty, N., Hancock, T., & Hellerstein, L. (1995). Learning Boolean read-once formulas over generalized bases. Journal of Computer and Systems Sciences, 50(3), 521-542.
-
(1995)
Journal of Computer and Systems Sciences
, vol.50
, Issue.3
, pp. 521-542
-
-
Bshouty, N.1
Hancock, T.2
Hellerstein, L.3
-
9
-
-
0040410833
-
Learning arithmetic read-once formulas
-
Bshouty, N., Hancock, T., & Hellerstein, L. (1995). Learning arithmetic read-once formulas. SIAM Journal on Computing, 24(4), 706-35.
-
(1995)
SIAM Journal on Computing
, vol.24
, Issue.4
, pp. 706-735
-
-
Bshouty, N.1
Hancock, T.2
Hellerstein, L.3
-
12
-
-
34249832377
-
A Bayesian method for the induction of probabilistic networks from data
-
Cooper, G., & Herskovits, E. (1992). A Bayesian method for the induction of probabilistic networks from data. Machine Learning, 9(4), 309-348.
-
(1992)
Machine Learning
, vol.9
, Issue.4
, pp. 309-348
-
-
Cooper, G.1
Herskovits, E.2
-
13
-
-
18244385308
-
Analogy
-
CSLI, Stanford University
-
Davies, T. (1985). Analogy. Informal note IN-CSLI-85-4, CSLI, Stanford University.
-
(1985)
Informal Note
, vol.IN-CSLI-85-4
-
-
Davies, T.1
-
14
-
-
0001586968
-
Learning belief networks in the presence of missing values and hidden variables
-
Nashville, TN: Morgan Kaufmann
-
Friedman, N. (1997). Learning belief networks in the presence of missing values and hidden variables. In Proceedings of International Conference on Machine Learning, (pp. 125-133). Nashville, TN: Morgan Kaufmann.
-
(1997)
Proceedings of International Conference on Machine Learning
, pp. 125-133
-
-
Friedman, N.1
-
15
-
-
2442517046
-
The instance description: How it can be derived and the use of its derivation
-
Unpublished ms report, Computer Science Division, University of California, Berkeley, CA. Later published as
-
Getoor, L. (1989). The instance description: How it can be derived and the use of its derivation. Unpublished ms report, Computer Science Division, University of California, Berkeley, CA. Later published as NASA Ames Research Center Technical Report IC-94-04.
-
(1989)
NASA Ames Research Center Technical Report
, vol.IC-94-04
-
-
Getoor, L.1
-
18
-
-
2442448022
-
Knowledge as bias
-
Benjamin, D. (Ed.), Kluwer, Norwell, MA
-
Hirsh, H. (1990). Knowledge as bias. In Benjamin, D. (Ed.), Change of Representation and Inductive Bias, pp. 209-221. Kluwer, Norwell, MA.
-
(1990)
Change of Representation and Inductive Bias
, pp. 209-221
-
-
Hirsh, H.1
-
19
-
-
0028324717
-
Cryptographic limitations on learning Boolean formulae and finite automata
-
Kèarns, M., & Valiant, L. (1994). Cryptographic limitations on learning Boolean formulae and finite automata. Journal of the ACM, 41(1), 67-95.
-
(1994)
Journal of the ACM
, vol.41
, Issue.1
, pp. 67-95
-
-
Kèarns, M.1
Valiant, L.2
-
20
-
-
2442569593
-
Research note on decision lists
-
Kohavi, R., & Benson, S. (1993). Research note on decision lists. Machine Learning, 13(1), 131-134.
-
(1993)
Machine Learning
, vol.13
, Issue.1
, pp. 131-134
-
-
Kohavi, R.1
Benson, S.2
-
21
-
-
0028531585
-
Quantifying prior determination knowledge using PAC learning model
-
Mahadevan, S., & Tadepalli, P. (1994). Quantifying prior determination knowledge using PAC learning model. Machine Learning, 17(1), 69-105.
-
(1994)
Machine Learning
, vol.17
, Issue.1
, pp. 69-105
-
-
Mahadevan, S.1
Tadepalli, P.2
-
22
-
-
0003682772
-
The need for biases in learning generalizations
-
Shavlik, J., & Dietterich, T. (Eds.), Morgan Kaufmann, San Mateo, CA. Originally published as Rutgers University technical report
-
Mitchell, T. (1980). The need for biases in learning generalizations. In Shavlik, J., & Dietterich, T. (Eds.), Readings in Machine Learning, pp. 184-191. Morgan Kaufmann, San Mateo, CA. Originally published as Rutgers University technical report.
-
(1980)
Readings in Machine Learning
, pp. 184-191
-
-
Mitchell, T.1
-
24
-
-
0025389210
-
Boolean feature discovery in empirical learning
-
Pagallo, G., & Haussler, D. (1990). Boolean feature discovery in empirical learning. Machine Learning, 5, 71-99.
-
(1990)
Machine Learning
, vol.5
, pp. 71-99
-
-
Pagallo, G.1
Haussler, D.2
-
25
-
-
8844261754
-
The utility of knowledge in inductive learning
-
Pazzani, M., & Kibler, D. (1992). The utility of knowledge in inductive learning. Machine Learning, 9(1), 57-94.
-
(1992)
Machine Learning
, vol.9
, Issue.1
, pp. 57-94
-
-
Pazzani, M.1
Kibler, D.2
-
27
-
-
0013097771
-
Read-twice DNF formulas are properly learnable
-
Pillaipakkamnatt, K., & Raghavan, V. (1995). Read-twice DNF formulas are properly learnable. Information and Computation, 122(2), 236-267.
-
(1995)
Information and Computation
, vol.122
, Issue.2
, pp. 236-267
-
-
Pillaipakkamnatt, K.1
Raghavan, V.2
-
28
-
-
33744584654
-
Induction of decision trees
-
Quinlan, R. (1986). Induction of decision trees. Machine Learning, 1(1), 81-106.
-
(1986)
Machine Learning
, vol.1
, Issue.1
, pp. 81-106
-
-
Quinlan, R.1
-
29
-
-
0001172265
-
Learning logical definitions from relations
-
Quinlan, R. (1990). Learning logical definitions from relations. Machine Learning, 5, 239-266.
-
(1990)
Machine Learning
, vol.5
, pp. 239-266
-
-
Quinlan, R.1
-
30
-
-
1442267080
-
Learning decision lists
-
Rivest, R. (1987). Learning decision lists. Machine Learning, 2(3), 229-246.
-
(1987)
Machine Learning
, vol.2
, Issue.3
, pp. 229-246
-
-
Rivest, R.1
-
35
-
-
0039845153
-
Declarative bias: An overview
-
Benjamin, D. (Ed.), Kluwer, Norwell, MA
-
Russell, S., & Grosof, B. (1990). Declarative bias: An overview. In Benjamin, D. (Ed.), Change of Representation and Inductive Bias, pp. 267-308. Kluwer, Norwell, MA.
-
(1990)
Change of Representation and Inductive Bias
, pp. 267-308
-
-
Russell, S.1
Grosof, B.2
-
36
-
-
84945789128
-
An approach to combining explanation-based and neural learning algorithms
-
Shavlik, J., & Towell, G. (1989). An approach to combining explanation-based and neural learning algorithms. Connection Science, 3(1), 231-53.
-
(1989)
Connection Science
, vol.3
, Issue.1
, pp. 231-253
-
-
Shavlik, J.1
Towell, G.2
-
38
-
-
0021518106
-
A theory of the learnable
-
Valiant, L. (1984). A theory of the learnable. Communications of the ACM, 27(11), 1134-1142.
-
(1984)
Communications of the ACM
, vol.27
, Issue.11
, pp. 1134-1142
-
-
Valiant, L.1
-
40
-
-
0023419344
-
Knowledge base refinement by monitoring abstract control knowledge
-
Wilkins, D., Clancey, W., & Buchanan, B. (1987). Knowledge base refinement by monitoring abstract control knowledge. International Journal of Man-Machine Studies, 27(3), 281-293.
-
(1987)
International Journal of Man-Machine Studies
, vol.27
, Issue.3
, pp. 281-293
-
-
Wilkins, D.1
Clancey, W.2
Buchanan, B.3
|