-
2
-
-
0002305253
-
An introduction to case-based reasoning
-
R. Barletta. An introduction to case-based reasoning. AI Expert, pages 42-49, 1991.
-
(1991)
AI Expert
, pp. 42-49
-
-
Barletta, R.1
-
4
-
-
85031805771
-
On estimating probabilities in tree pruning
-
Y. Kodratoff, editor, Springer-Verlag
-
B. Cestnik and I. Bratko. On estimating probabilities in tree pruning. In Y. Kodratoff, editor, Machine Learning EWSL-91, pages 138-150. Springer-Verlag, 1991.
-
(1991)
Machine Learning EWSL-91
, pp. 138-150
-
-
Cestnik, B.1
Bratko, I.2
-
5
-
-
84943175777
-
A Bayesian classification system
-
Arm Arbor, June
-
P. Cheeseman, J. Kelly, M. Self, J. Stutz, W. Taylor, and D. Freeman. Autoclass: A Bayesian classification system. In Proceedings of the Fifth International Conference on Machine Learning, pages 54-64, Arm Arbor, June 1988.
-
(1988)
Proceedings of the Fifth International Conference on Machine Learning
, pp. 54-64
-
-
Cheeseman, P.1
Kelly, J.2
Self, M.3
Stutz, J.4
Taylor, W.5
Autoclass, D.F.6
-
7
-
-
0022226575
-
Heuristic classification
-
W. Clancey. Heuristic classification. Artificial Intelligence, 27:289-350, 1985.
-
(1985)
Artificial Intelligence
, vol.27
, pp. 289-350
-
-
Clancey, W.1
-
10
-
-
0002629270
-
Maximum likelihood from incomplete data via the EM algorithm
-
A.P. Dempster, N.M. Laird, and D.B. Rubin. Maximum likelihood from incomplete data via the EM algorithm. Journal of the Royal Statistical Society, Series B, 39(1):1-38, 1977.
-
(1977)
Journal of the Royal Statistical Society, Series B
, vol.39
, Issue.1
, pp. 1-38
-
-
Dempster, A.P.1
Laird, N.M.2
Rubin, D.B.3
-
15
-
-
0027580356
-
Very simple classification rifles perform well on most commonly used datasets
-
R.C. Holte. Very simple classification rifles perform well on most commonly used datasets. Machine Learning, 11:63-91, 1993.
-
(1993)
Machine Learning
, vol.11
, pp. 63-91
-
-
Holte, R.C.1
-
16
-
-
0000468432
-
Estimating continuous distributions in Bayesian classifiers
-
P. Besnard and S. Hanks, editors, Morgan Kaufmann Publishers
-
G.H. John and P. Langley. Estimating continuous distributions in Bayesian classifiers. In P. Besnard and S. Hanks, editors, Proceedings of the 11th Conference on Uncertainty in Artificial Intelligence, pages 338-345. Morgan Kaufmann Publishers, 1995.
-
(1995)
Proceedings of the 11Th Conference on Uncertainty in Artificial Intelligence
, pp. 338-345
-
-
John, G.H.1
Langley, P.2
-
17
-
-
0000262562
-
Hierarchical mixtures of experts and the EM algorithm
-
M.I. Jordan and R.A. Jacobs. Hierarchical mixtures of experts and the EM algorithm. Neural Computation, 6:181-214, 1994.
-
(1994)
Neural Computation
, vol.6
, pp. 181-214
-
-
Jordan, M.I.1
Jacobs, R.A.2
-
18
-
-
4243325155
-
-
Technical Report 254, Department of Statistics, University of Washington
-
R.E. Kass and A.E. Raftery. Bayes factors. Technical Report 254, Department of Statistics, University of Washington, 1994.
-
(1994)
Bayes Factors
-
-
Kass, R.E.1
Raftery, A.E.2
-
19
-
-
0345933464
-
Analogical asides on case-based reasoning
-
S. Wess, K.-D. Althoff, and M Richter, editors, Springer-Verlag
-
M. Keane. Analogical asides on case-based reasoning. In S. Wess, K.-D. Althoff, and M Richter, editors, Topics in Case-Based Reasoning, volume 837 of Lecture Notes in Artificial Intelligence, pages 21-32. Springer-Verlag, 1994.
-
(1994)
Topics in Case-Based Reasoning, Volume 837 of Lecture Notes in Artificial Intelligence
, pp. 21-32
-
-
Keane, M.1
-
20
-
-
0003602869
-
-
Morgan Kaufmann Publishers, San Mateo
-
J. Kolodner. Case.Based Reasoning. Morgan Kaufmann Publishers, San Mateo, 1993.
-
(1993)
Case.Based Reasoning
-
-
Kolodner, J.1
-
21
-
-
84905858024
-
Successive naive Bayesian classifier
-
I. Kononenko. Successive naive Bayesian classifier. Informatica, 17:167-174, 1993.
-
(1993)
Informatica
, vol.17
, pp. 167-174
-
-
Kononenko, I.1
-
22
-
-
0025803268
-
Information-based evaluation criterion for classifier's performance
-
I. Kononenko and I. Bratko. Information-based evaluation criterion for classifier's performance. Machine Learning, 6:67-80, 1991.
-
(1991)
Machine Learning
, vol.6
, pp. 67-80
-
-
Kononenko, I.1
Bratko, I.2
-
24
-
-
0348224748
-
Comparing Bayesian model class selection criteria by discrete finite mixtures
-
Melbourne, Australia, August, To appear
-
P. Kontkanen, P. Myllymäki and H. Tirri. Comparing Bayesian model class selection criteria by discrete finite mixtures. In Proceedings of the ISIS (Information, Statistics and Induction in Science) Conference, Melbourne, Australia, August 1996. (To appear.).
-
(1996)
Proceedings of the ISIS (Information, Statistics and Induction in Science) Conference
-
-
Kontkanen, P.1
Myllymäki, P.2
Tirri, H.3
-
25
-
-
24044462764
-
-
Technical Report C-1996-9, University of Helsinki, Department of Computer Science
-
P. Kontkanen, P. Myllymäki, and H. Tirri. Constructing Bayesian finite mixture models by the EM algorithm. Technical Report C-1996-9, University of Helsinki, Department of Computer Science, February 1996.
-
(1996)
Constructing Bayesian Finite Mixture Models by the EM Algorithm
-
-
Kontkanen, P.1
Myllymäki, P.2
Tirri, H.3
-
28
-
-
0003612091
-
-
editors, Ellis Horwood, London
-
D. MicMe, D.J. Spiegelhalter, and C.C. Taylor, editors. Machine Learning, Neural and Statistical Classification. Ellis Horwood, London, 1994.
-
(1994)
Machine Learning, Neural and Statistical Classification
-
-
Micme, D.1
Spiegelhalter, D.J.2
Taylor, C.C.3
-
29
-
-
84943264554
-
Bayesian case-based reasoning with neural networks
-
San Francisco, March, IEEE, Piscataway, NJ
-
P. Myllymäki and H. Tirri. Bayesian case-based reasoning with neural networks. In Proceedings of the IEEE International Conference on Neural Networks, volume 1, pages 422-427, San Francisco, March 1993. IEEE, Piscataway, NJ.
-
(1993)
Proceedings of the IEEE International Conference on Neural Networks, Volume 1
, pp. 422-427
-
-
Myllymäki, P.1
Tirri, H.2
-
30
-
-
50149096977
-
Massively parallel case-based reasoning with probabilistic similarity metrics
-
S. Wess, K.-D. Althoff, and M Richter, editors, Springer-Verlag
-
P. Myllymäki and H. Tirri. Massively parallel case-based reasoning with probabilistic similarity metrics. In S. Wess, K.-D. Althoff, and M Richter, editors, Topics in Case-Based Reasoning, volume 837 of Lecture Notes in Artificial Intelligence, pages 144-154. Springer-Verlag, 1994.
-
(1994)
Topics in Case-Based Reasoning, Volume 837 of Lecture Notes in Artificial Intelligence
, pp. 144-154
-
-
Myllymäki, P.1
Tirri, H.2
-
31
-
-
10044252893
-
Constructing computationally efficient Bayesian models via unsupervised clustering
-
A.Gammerman, editor, Alfred Waller Publishers, Suffolk
-
P. MyUymäki and H. Tirri. Constructing computationally efficient Bayesian models via unsupervised clustering. In A.Gammerman, editor, Probabilistic Reasoning and Bayesian Belief Networks, pages 237-248. Alfred Waller Publishers, Suffolk, 1995.
-
(1995)
Probabilistic Reasoning and Bayesian Belief Networks
, pp. 237-248
-
-
Myuymäki, P.1
Tirri, H.2
-
32
-
-
0027552246
-
Integrating feature extraction and memory search
-
C. Owens. Integrating feature extraction and memory search. Machine Learning, 10(3):311-349, 1993.
-
(1993)
Machine Learning
, vol.10
, Issue.3
, pp. 311-349
-
-
Owens, C.1
-
35
-
-
0003545910
-
-
Theory, Practice, and Visualization, John Wiley & Sons, New York
-
D.W. Scott. Multivariate Density Estimation. Theory, Practice, and Visualization. John Wiley & Sons, New York, 1992.
-
(1992)
Multivariate Density Estimation
-
-
Scott, D.W.1
-
37
-
-
0013068632
-
Probabilistic instance-based learning
-
L. Saitta, editor, Morgan Kaufmann Publishers
-
H. Tirri, P. Kontkanen, and P. Myllymäki. Probabilistic instance-based learning. In L. Saitta, editor, Machine Learning: Proceedings of the Thirteenth International Conference, pages 507-515. Morgan Kaufmann Publishers, 1996.
-
(1996)
Machine Learning: Proceedings of the Thirteenth International Conference
, pp. 507-515
-
-
Tirri, H.1
Kontkanen, P.2
Myllymäki, P.3
|