-
2
-
-
60649115993
-
-
Springer
-
P. Brazdil, C. Giraud-Carrier, C.Soares, and R. Vilalta, Metalearning: Applications to Data Mining, Springer, 2009.
-
(2009)
Metalearning: Applications to Data Mining
-
-
Brazdil, P.1
Giraud-Carrier, C.2
Soares, C.3
Vilalta, R.4
-
3
-
-
0037361994
-
Ranking learning algorithms: Using IBL and meta-learning on accuracy and time results
-
P. Brazdil, C. Soares, and J. Costa, 'Ranking learning algorithms: Using IBL and meta-learning on accuracy and time results', Machine Learning, 50, 251-277, (2003).
-
(2003)
Machine Learning
, vol.50
, pp. 251-277
-
-
Brazdil, P.1
Soares, C.2
Costa, J.3
-
4
-
-
0030825529
-
A general framework for distance-based consensus in ordinal ranking models
-
W.D. Cook, M. Kress, and L.W. Seiford, 'A general framework for distance-based consensus in ordinal ranking models', European Journal of Operational Research, 96(2), 392-397, (1996).
-
(1996)
European Journal of Operational Research
, vol.96
, Issue.2
, pp. 392-397
-
-
Cook, W.D.1
Kress, M.2
Seiford, L.W.3
-
5
-
-
30344470160
-
A weighted rank measure of correlation
-
Joaquim P. Costa and Carlos Soares, 'A weighted rank measure of correlation', Australian and New Zealand Journal of Statistics, 47(4), 515-529, (2005).
-
(2005)
Australian and New Zealand Journal of Statistics
, vol.47
, Issue.4
, pp. 515-529
-
-
Costa, J.P.1
Soares, C.2
-
7
-
-
76749092270
-
The weka data mining software: An update
-
Mark Hall, Eibe Frank, Geoffrey Holmes, Bernhard Pfahringer, Peter Reutemann, and Ian H. Witten, 'The weka data mining software: an update', SIGKDD Explorations, 11(1), 10-18, (2009).
-
(2009)
SIGKDD Explorations
, vol.11
, Issue.1
, pp. 10-18
-
-
Hall, M.1
Frank, E.2
Holmes, G.3
Pfahringer, B.4
Reutemann, P.5
Witten, I.H.6
-
8
-
-
31844442667
-
Predicting relative performance of classifiers from samples
-
New York, NY, USA. ACM Press
-
Rui Leite and Pavel Brazdil, 'Predicting relative performance of classifiers from samples', in ICML '05: Proceedings of the 22nd international conference on Machine learning, pp. 497-503, New York, NY, USA, (2005). ACM Press.
-
(2005)
ICML '05: Proceedings of the 22nd International Conference on Machine Learning
, pp. 497-503
-
-
Leite, R.1
Brazdil, P.2
-
9
-
-
38349041762
-
An iterative process for building learning curves and predicting relative performance of classifiers
-
Progress In Artificial Intelligence, Proceedings of the 13th Portuguese Conference on Artificial Intelligence Workshops (EPIA 2007), eds., J.Neves, M.F.Santos, and J.Machado, Guimarães, Portugal, December. Springer
-
Rui Leite and Pavel Brazdil, 'An iterative process for building learning curves and predicting relative performance of classifiers', in Progress In Artificial Intelligence, Proceedings of the 13th Portuguese Conference on Artificial Intelligence Workshops (EPIA 2007), eds., J.Neves, M.F.Santos, and J.Machado, volume 4874 of Lecture Notes in Computer Science, pp. 87-98, Guimarães, Portugal, (December 2007). Springer.
-
(2007)
Lecture Notes in Computer Science
, vol.4874
, pp. 87-98
-
-
Leite, R.1
Brazdil, P.2
-
10
-
-
74049084744
-
Selecting classifiers using metalearning with sampling landmarks and data characterization
-
held at ICML/COLT/UAI 2008, eds., P.Brazdil, A.Bernstein, and L.Hunter, Helsinki, Finland, July
-
Rui Leite and Pavel Brazdil, 'Selecting classifiers using metalearning with sampling landmarks and data characterization', in Proceedings of the Planning to Learn Workshop (PlanLearn 2008), held at ICML/COLT/UAI 2008, eds., P.Brazdil, A.Bernstein, and L.Hunter, pp. 35-41, Helsinki, Finland, (July 2008).
-
(2008)
Proceedings of the Planning to Learn Workshop (PlanLearn 2008)
, pp. 35-41
-
-
Leite, R.1
Brazdil, P.2
-
11
-
-
21244449557
-
A new landmarker generation based on correlativity
-
IEEE Press, Louisville, USA
-
D. Ler, I.Koprinska, and S.Chawla, 'A new landmarker generation based on correlativity', in Proceedings of the IEEE International Conference on Machine Learning and Applications, pp. 178-185. IEEE Press, Louisville, USA, (2004).
-
(2004)
Proceedings of the IEEE International Conference on Machine Learning and Applications
, pp. 178-185
-
-
Ler, D.1
Koprinska, I.2
Chawla, S.3
-
12
-
-
66749097244
-
Utilizing regression-based landmarkers within a meta-learning framework for algorithm selection
-
Bonn, Germany
-
D. Ler, I.Koprinska, and S.Chawla, 'Utilizing regression-based landmarkers within a meta-learning framework for algorithm selection', in Proceedings of the Workshop on Meta-Learning, associated with 22nd International Conference on Machine Learning, pp. 44-51, Bonn, Germany, (2005).
-
(2005)
Proceedings of the Workshop on Meta-Learning Associated with 22nd International Conference on Machine Learning
, pp. 44-51
-
-
Ler, D.1
Koprinska, I.2
Chawla, S.3
-
13
-
-
85182293891
-
-
1999
-
Metal project site. http://www.metal-kdd.org/, 1999.
-
-
-
-
14
-
-
0003612091
-
-
Ellis Horwood
-
D. Michie, D.J.Spiegelhalter, and C.C.Taylor, Machine Learning, Neural and Statistical Classification, Ellis Horwood, 1994.
-
(1994)
Machine Learning, Neural and Statistical Classification
-
-
Michie, D.1
Spiegelhalter, D.J.2
Taylor, C.C.3
-
15
-
-
66149178152
-
-
Ph.D. dissertation, Department of Computer Science, Faculty of Sciences, University of Porto
-
C. Soares, Learning Rankings of Learning Algorithms, Ph.D. dissertation, Department of Computer Science, Faculty of Sciences, University of Porto, 2004.
-
(2004)
Learning Rankings of Learning Algorithms
-
-
Soares, C.1
-
16
-
-
84867773113
-
Sampling-based relative landmarks: Systematically test-driving algorithms before choosing
-
Springer
-
Carlos Soares, Johann Petrak, and Pavel Brazdil, 'Sampling-based relative landmarks: Systematically test-driving algorithms before choosing', in Proceedings of the 10th Portuguese Conference on Artificial Intelligence (EPIA 2001), pp. 88-94. Springer, (2001).
-
(2001)
Proceedings of the 10th Portuguese Conference on Artificial Intelligence (EPIA 2001)
, pp. 88-94
-
-
Soares, C.1
Petrak, J.2
Brazdil, P.3
|