-
1
-
-
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, 929-965.
-
(1989)
Journal of the ACM
, vol.36
, pp. 929-965
-
-
Blumer, A.1
Ehrenfeucht, A.2
Haussler, D.3
Warmuth, M.4
-
2
-
-
0003802343
-
-
Belmont, CA: Wadsworth International
-
Breiman, L., Friedman, J., Olshen, R., & Stone, C. (1984). Classification and Regression Trees. Belmont, CA: Wadsworth International.
-
(1984)
Classification and Regression Trees
-
-
Breiman, L.1
Friedman, J.2
Olshen, R.3
Stone, C.4
-
5
-
-
84976766582
-
Overfitting and under-computing in machine learning
-
Dietterich, T. (1995). Overfitting and under-computing in machine learning. ACM Computing Surveys, 27, 326-327.
-
(1995)
ACM Computing Surveys
, vol.27
, pp. 326-327
-
-
Dietterich, T.1
-
7
-
-
0041779664
-
Alchemy in the behavioral sciences
-
Einhorn, H. (1972). Alchemy in the behavioral sciences. Public Opinion Quarterly, 36, 367-378.
-
(1972)
Public Opinion Quarterly
, vol.36
, pp. 367-378
-
-
Einhorn, H.1
-
9
-
-
1642405920
-
On the statistical comparison of inductive learning methods
-
D. Fisher & H.-J. Lenz (Eds.), New York, NY: Springer Verlag.
-
Feelders, A. & Verkooijen, W. (1996). On the statistical comparison of inductive learning methods. In D. Fisher & H.-J. Lenz (Eds.), Learning from Data: Artificial and Intelligence V. New York, NY: Springer Verlag.
-
(1996)
Learning from Data: Artificial and Intelligence V
-
-
Feelders, A.1
Verkooijen, W.2
-
11
-
-
85152635090
-
An ounce of knowledge is worth a Ion of data: Quantitative studies of the trade-off between expertise and data based on statistically well-founded empirical induction
-
San Mateo, CA: Morgan Kaufmann
-
Gaines, B. (1989). An ounce of knowledge is worth a Ion of data: Quantitative studies of the trade-off between expertise and data based on statistically well-founded empirical induction. Proceedings of the Sixth International Workshop on Machine Learning (pp. 156-159). San Mateo, CA: Morgan Kaufmann.
-
(1989)
Proceedings of the Sixth International Workshop on Machine Learning
, pp. 156-159
-
-
Gaines, B.1
-
13
-
-
0001942829
-
Neural networks and the bias/variance dilemma
-
Geman, S., Bienenstock, E., & Doursat, R. (1992). Neural networks and the bias/variance dilemma. Neural Computation, 4, 1-58.
-
(1992)
Neural Computation
, vol.4
, pp. 1-58
-
-
Geman, S.1
Bienenstock, E.2
Doursat, R.3
-
15
-
-
0001068115
-
Automatic interation detection
-
D. Hawkins (Ed.), Cambridge: Cambridge University Press
-
Hawkins, D. & Kass, G. (1982). Automatic interation detection. In D. Hawkins (Ed.), Topics in Applied Multivariate Analysis. Cambridge: Cambridge University Press.
-
(1982)
Topics in Applied Multivariate Analysis
-
-
Hawkins, D.1
Kass, G.2
-
16
-
-
85152537802
-
Trading off simplicity and coverage in incremental concept learning
-
San Mateo, CA: Morgan Kaufmann
-
Iba, W., Wogulis, J., & Langley, P. (1988). Trading off simplicity and coverage in incremental concept learning. Proceedings of the Fifth International Conference on Machine Learning (pp. 73-79). San Mateo, CA: Morgan Kaufmann.
-
(1988)
Proceedings of the Fifth International Conference on Machine Learning
, pp. 73-79
-
-
Iba, W.1
Wogulis, J.2
Langley, P.3
-
17
-
-
0343981219
-
Knowledge discovery through induction with randomization testing
-
Menlo Park, CA: AAAI
-
Jensen, D. (1991). Knowledge discovery through induction with randomization testing. Proceedings of the 1991 Knowledge Discovery in Databases Workshop (pp. 148-159). Menlo Park, CA: AAAI.
-
(1991)
Proceedings of the 1991 Knowledge Discovery in Databases Workshop
, pp. 148-159
-
-
Jensen, D.1
-
20
-
-
0016451141
-
Significance testing in Automatic Interaction Detection (A.I.D.)
-
Kass, G. (1975). Significance testing in Automatic Interaction Detection (A.I.D.). Applied Statistics, 24, 178-189.
-
(1975)
Applied Statistics
, vol.24
, pp. 178-189
-
-
Kass, G.1
-
21
-
-
0000661829
-
An exploratory technique for investigating large quantities of categorical data
-
Kass, G. (1980). An exploratory technique for investigating large quantities of categorical data. Applied Statistics, 29, 119-127.
-
(1980)
Applied Statistics
, vol.29
, pp. 119-127
-
-
Kass, G.1
-
24
-
-
0028405109
-
The importance of attribute selection measures in decision tree induction
-
Liu, W. & White, A. (1994). The importance of attribute selection measures in decision tree induction. Machine Learning, 15, 25-41.
-
(1994)
Machine Learning
, vol.15
, pp. 25-41
-
-
Liu, W.1
White, A.2
-
26
-
-
79952785777
-
An empirical comparison of pruning methods for decision tree induction
-
Mingers, J. (1989a). An empirical comparison of pruning methods for decision tree induction. Machine Learning, 4, 227-243.
-
(1989)
Machine Learning
, vol.4
, pp. 227-243
-
-
Mingers, J.1
-
27
-
-
34249966833
-
An empirical comparison of selection measures for decision-tree induction
-
Mingers, J. (1989b). An empirical comparison of selection measures for decision-tree induction. Machine Learning, 3, 319-342.
-
(1989)
Machine Learning
, vol.3
, pp. 319-342
-
-
Mingers, J.1
-
28
-
-
0343545253
-
A comment on Einhorn's "Alchemy in the behavioral sciences"
-
Morgan, J. & Andrews, F. (1973). A comment on Einhorn's "Alchemy in the behavioral sciences". Public Opinion Quarterly, 37, 127-129.
-
(1973)
Public Opinion Quarterly
, vol.37
, pp. 127-129
-
-
Morgan, J.1
Andrews, F.2
-
32
-
-
0018058024
-
On the connection between the complexity and credibility of inferred models
-
Pearl, J. (1978). On the connection between the complexity and credibility of inferred models. International Journal of General Systems, 4, 255-264.
-
(1978)
International Journal of General Systems
, vol.4
, pp. 255-264
-
-
Pearl, J.1
-
33
-
-
33744584654
-
Induction of decision trees
-
Quinlan, J. R. (1986). Induction of decision trees. Machine Learning, 1, 81-106.
-
(1986)
Machine Learning
, vol.1
, pp. 81-106
-
-
Quinlan, J.R.1
-
35
-
-
0000600410
-
Decision trees and multi-valued attributes
-
J. Hayes, D. Michie & J. Richards (Eds.), Oxford, England: Clarendon Press
-
Quinlan, J. R. (1988). Decision trees and multi-valued attributes. In J. Hayes, D. Michie & J. Richards (Eds.), Machine Intelligence (Vol. 11). Oxford, England: Clarendon Press.
-
(1988)
Machine Intelligence
, vol.11
-
-
Quinlan, J.R.1
-
38
-
-
0024627518
-
Inferring decision trees using the minimum description length principle
-
Quinlan, J. R. & Rivest, R. (1989). Inferring decision trees using the minimum description length principle. Information and Computation, 80, 227-248.
-
(1989)
Information and Computation
, vol.80
, pp. 227-248
-
-
Quinlan, J.R.1
Rivest, R.2
-
39
-
-
85115704629
-
For every generalization action, is there really an equal and opposite reaction? Analysis of the conservation law for generalization performance
-
San Francisco, CA: Morgan Kaufmann
-
Rao, R., Gordon, D., & Spears, W. (1995). For every generalization action, is there really an equal and opposite reaction? Analysis of the conservation law for generalization performance. Machine Learning: Proceedings of the Twelfth International Conference (pp. 471-479). San Francisco, CA: Morgan Kaufmann.
-
(1995)
Machine Learning: Proceedings of the Twelfth International Conference
, pp. 471-479
-
-
Rao, R.1
Gordon, D.2
Spears, W.3
-
41
-
-
27144463192
-
On comparing classifiers: Pitfalls to avoid and a recommended approach
-
Salzberg, S. (1997). On comparing classifiers: Pitfalls to avoid and a recommended approach. Data Mining and Knowledge Discovery, 1, 317-328.
-
(1997)
Data Mining and Knowledge Discovery
, vol.1
, pp. 317-328
-
-
Salzberg, S.1
-
42
-
-
0001259758
-
Overfitting avoidance as bias
-
Schaffer, C. (1993). Overfitting avoidance as bias. Machine Learning, 10, 153-178.
-
(1993)
Machine Learning
, vol.10
, pp. 153-178
-
-
Schaffer, C.1
-
44
-
-
84859355575
-
-
Ann Arbor, MI: Survey Research Center, Institute for Social Research, The University of Michigan
-
Sonquist, J., Baker, E., & Morgan, J. (1971). Searching for Structure (Alias, AID-III); An Approach to Analysis of Substantial Bodies of Micro-Data and Documentation for a Computer Program (Successor to the Automatic Interaction Detector Program). Ann Arbor, MI: Survey Research Center, Institute for Social Research, The University of Michigan.
-
(1971)
Searching for Structure (Alias, AID-III); an Approach to Analysis of Substantial Bodies of Micro-Data and Documentation for a Computer Program (Successor to the Automatic Interaction Detector Program)
-
-
Sonquist, J.1
Baker, E.2
Morgan, J.3
-
45
-
-
0003932630
-
-
San Mateo, CA: Morgan Kaufmann
-
Weiss, S. & Kulikowski, C. (1991). Computer Systems That Learn: Classification and Prediction Methods from Statistics, Neural Nets, Machine Learning, and Expert Systems. San Mateo, CA: Morgan Kaufmann.
-
(1991)
Computer Systems That Learn: Classification and Prediction Methods from Statistics, Neural Nets, Machine Learning, and Expert Systems
-
-
Weiss, S.1
Kulikowski, C.2
-
47
-
-
0002489083
-
On the connection between in-sample testing and generalization error
-
Wolpert, D. (1992). On the connection between in-sample testing and generalization error. Complex Systems, 6, 47-94.
-
(1992)
Complex Systems
, vol.6
, pp. 47-94
-
-
Wolpert, D.1
|