-
1
-
-
0025725905
-
Instance-based learning algorithms
-
Aha, D.; Kibler, D.; and Albert, M. 1991. Instance-based learning algorithms. Machine Learning 6(1):37-66.
-
(1991)
Machine Learning
, vol.6
, Issue.1
, pp. 37-66
-
-
Aha, D.1
Kibler, D.2
Albert, M.3
-
4
-
-
85118837783
-
Addressing the selective superiority problem: Automatic algorithm/model class selection
-
Morgan Kaufmann
-
Brodley, C. 1993. Addressing the selective superiority problem: Automatic algorithm/model class selection. In Proceedings of the Tenth International Conference on Machine Learning, 17-24. Morgan Kaufmann.
-
(1993)
Proceedings of the Tenth International Conference on Machine Learning
, pp. 17-24
-
-
Brodley, C.1
-
6
-
-
35048899801
-
An analysis of casebase editing in a spam filtering system
-
Berlin: Springer
-
Delany, S., and Cunningham, P. 2004. An analysis of casebase editing in a spam filtering system. In Advances in Case-Based Reasoning. Berlin: Springer. 128-141.
-
(2004)
Advances in Case-based Reasoning
, pp. 128-141
-
-
Delany, S.1
Cunningham, P.2
-
11
-
-
84889562539
-
A context-aware approach to selecting adaptations for case-based reasoning
-
Berlin: Springer
-
Jalali, V., and Leake, D. 2013a. A context-aware approach to selecting adaptations for case-based reasoning. In Modeling and Using Context. Berlin: Springer. 101-114.
-
(2013)
Modeling and Using Context
, pp. 101-114
-
-
Jalali, V.1
Leake, D.2
-
12
-
-
84884505902
-
Extending case adaptation with automatically-generated ensembles of adaptation rules
-
Berlin: Springer
-
Jalali, V., and Leake, D. 2013b. Extending case adaptation with automatically-generated ensembles of adaptation rules. In Case-Based Reasoning Research and Development, IC-CBR 2013, 188-202. Berlin: Springer.
-
(2013)
Case-based Reasoning Research and Development, IC-CBR
, vol.2013
, pp. 188-202
-
-
Jalali, V.1
Leake, D.2
-
14
-
-
34548018758
-
Maintaining case-based reasoning systems
-
Leake, D.; Smyth, B.; Wilson, D.; and Yang, Q., eds. 2001. Maintaining Case-Based Reasoning Systems. Blackwell. Special issue of Computational Intelligence, 17(2), 2001.
-
(2001)
Blackwell. Special Issue of Computational Intelligence
, vol.17
, Issue.2
, pp. 2001
-
-
Leake, D.1
Smyth, B.2
Wilson, D.3
Yang, Q.4
-
16
-
-
33646537794
-
Retrieval, reuse, revision, and retention in CBR
-
Lopez de Mantaras, R.; McSherry, D.; Bridge, D.; Leake, D.; Smyth, B.; Craw, S.; Faltings, B.; Maher, M.; Cox, M.; Forbus, K.; Keane, M.; Aamodt, A.; and Watson, I. 2005. Retrieval, reuse, revision, and retention in CBR. Knowledge Engineering Review 20 (3).
-
(2005)
Knowledge Engineering Review
, vol.20
, Issue.3
-
-
Lopez De Mantaras, R.1
McSherry, D.2
Bridge, D.3
Leake, D.4
Smyth, B.5
Craw, S.6
Faltings, B.7
Maher, M.8
Cox, M.9
Forbus, K.10
Keane, M.11
Aamodt, A.12
Watson, I.13
-
17
-
-
0027547719
-
Information filtering: Selection mechanisms in learning systems
-
Markovitch, S., and Scott, P. 1993. Information filtering: Selection mechanisms in learning systems. Machine Learning 10(2):113-151.
-
(1993)
Machine Learning
, vol.10
, Issue.2
, pp. 113-151
-
-
Markovitch, S.1
Scott, P.2
-
18
-
-
84957588468
-
Maintaining unstructured case bases
-
Berlin: Springer
-
Racine, K., and Yang, Q. 1997. Maintaining unstructured case bases. In Case-Based Reasoning Research and Development, ICCBR 1997, 553-564. Berlin: Springer.
-
(1997)
Case-based Reasoning Research and Development, ICCBR
, vol.1997
, pp. 553-564
-
-
Racine, K.1
Yang, Q.2
-
21
-
-
0032121020
-
Adaptation-guided retrieval: Questioning the similarity assumption in reasoning
-
Smyth, B., and Keane, M. 1998. Adaptation-guided retrieval: Questioning the similarity assumption in reasoning. Artificial Intelligence 102(2):249-293.
-
(1998)
Artificial Intelligence
, vol.102
, Issue.2
, pp. 249-293
-
-
Smyth, B.1
Keane, M.2
-
24
-
-
84948162475
-
Case-base maintenance
-
Castellon, Spain: Springer
-
Smyth, B. 1998. Case-base maintenance. In Tasks and Methods in Applied Intelligence, 507-516. Castellon, Spain: Springer.
-
(1998)
Tasks and Methods in Applied Intelligence
, pp. 507-516
-
-
Smyth, B.1
-
25
-
-
0343081513
-
Reduction techniques for instance-based learning algorithms
-
Wilson, D., and Martinez, T. 2000. Reduction techniques for instance-based learning algorithms. Machine Learning 38(3):257-286.
-
(2000)
Machine Learning
, vol.38
, Issue.3
, pp. 257-286
-
-
Wilson, D.1
Martinez, T.2
|