-
2
-
-
84974662336
-
A comparison of ranking methods for classification algorithm selection
-
Springer
-
Brazdil, P., Soares, C.: A Comparison of Ranking Methods for Classification Algorithm Selection. In: Machine Learning: ECML 2000, pp. 63-75. Springer (2000)
-
(2000)
Machine Learning: ECML 2000
, pp. 63-75
-
-
Brazdil, P.1
Soares, C.2
-
3
-
-
0037361994
-
Ranking learning algorithms: Using IBL and meta-learning on accuracy and time results
-
Brazdil, P., Soares, C., Da Costa, J. P.: Ranking learning algorithms: Using IBL and meta-learning on accuracy and time results. Machine Learning 50(3), 251-277 (2003)
-
(2003)
Machine Learning
, vol.50
, Issue.3
, pp. 251-277
-
-
Brazdil, P.1
Soares, C.2
Da Costa, J.P.3
-
4
-
-
60649115993
-
-
Springer Science & Business Media
-
Brazdil, P., Giraud-Carrier, C., Soares, C., Vilalta, R.: Metalearning: Applications to data mining. Springer Science & Business Media (2008)
-
(2008)
Metalearning: Applications to Data Mining
-
-
Brazdil, P.1
Giraud-Carrier, C.2
Soares, C.3
Vilalta, R.4
-
5
-
-
29644438050
-
Statistical comparisons of classifiers over multiple data sets
-
Demšar, J.: Statistical Comparisons of Classifiers over Multiple Data Sets. The Journal of Machine Learning Research 7, 1-30 (2006)
-
(2006)
The Journal of Machine Learning Research
, vol.7
, pp. 1-30
-
-
Demšar, J.1
-
8
-
-
84939973148
-
Active learning for primary drug screening
-
de Grave, K., Ramon, J., de Raedt, L.: Active Learning for Primary Drug Screening. In: Benelearn 08, The Annual Belgian-Dutch Machine Learning Conference. vol. 2008, pp. 55-56 (2008)
-
(2008)
Benelearn 08, The Annual Belgian-Dutch Machine Learning Conference
, vol.2008
, pp. 55-56
-
-
De Grave, K.1
Ramon, J.2
De Raedt, L.3
-
9
-
-
76749092270
-
The WEKA data mining software: An update
-
Hall, M., Frank, E., Holmes, G., Pfahringer, B., Reutemann, P., Witten, I. H.: The WEKA Data Mining Software: An Update. ACM SIGKDD Explorations Newsletter 11(1), 10-18 (2009)
-
(2009)
ACM SIGKDD Explorations Newsletter
, 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
-
10
-
-
77956031602
-
Active testing strategy to predict the best classification algorithm via sampling and metalearning
-
Leite, R., Brazdil, P.: Active Testing Strategy to Predict the Best Classification Algorithm via Sampling and Metalearning. In: ECAI. pp. 309-314 (2010)
-
(2010)
ECAI
, pp. 309-314
-
-
Leite, R.1
Brazdil, P.2
-
11
-
-
84864928603
-
Selecting classification algorithms with active testing
-
Springer
-
Leite, R., Brazdil, P., Vanschoren, J.: Selecting Classification Algorithms with Active Testing. In: Machine Learning and Data Mining in Pattern Recognition, pp. 117-131. Springer (2012)
-
(2012)
Machine Learning and Data Mining in Pattern Recognition
, pp. 117-131
-
-
Leite, R.1
Brazdil, P.2
Vanschoren, J.3
-
12
-
-
77956039703
-
Active learning for ranking through expected loss optimization
-
ACM
-
Long, B., Chapelle, O., Zhang, Y., Chang, Y., Zheng, Z., Tseng, B.: Active Learning for Ranking through Expected Loss Optimization. In: Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval. pp. 267-274. ACM (2010)
-
(2010)
Proceedings of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval
, pp. 267-274
-
-
Long, B.1
Chapelle, O.2
Zhang, Y.3
Chang, Y.4
Zheng, Z.5
Tseng, B.6
-
17
-
-
0003056605
-
The algorithm selection problem
-
Rice, J. R.: The Algorithm Selection Problem. Advances in Computers 15, 65-118 (1976)
-
(1976)
Advances in Computers
, vol.15
, pp. 65-118
-
-
Rice, J.R.1
-
18
-
-
84944215678
-
Fast algorithm selection using learning curves
-
Springer
-
van Rijn, J. N., Abdulrahman, S. M., Brazdil, P., Vanschoren, J.: Fast Algorithm Selection using Learning Curves. In: Advances in Intelligent Data Analysis XIV. Springer (2015)
-
(2015)
Advances in Intelligent Data Analysis XIV
-
-
Van Rijn, J.N.1
Abdulrahman, S.M.2
Brazdil, P.3
Vanschoren, J.4
-
19
-
-
49749086726
-
Cross-disciplinary perspectives on meta-learning for algorithm selection
-
Smith-Miles, K. A.: Cross-disciplinary Perspectives on Meta-Learning for Algorithm Selection. ACM Computing Surveys (CSUR) 41(1), 6:1-6:25 (2008)
-
(2008)
ACM Computing Surveys (CSUR)
, vol.41
, Issue.1
, pp. 61-625
-
-
Smith-Miles, K.A.1
-
20
-
-
84944261791
-
OpenML: Networked science in machine learning
-
Vanschoren, J., van Rijn, J. N., Bischl, B., Torgo, L.: OpenML: networked science in machine learning. ACM SIGKDD Explorations Newsletter 15(2), 49-60 (2014)
-
(2014)
ACM SIGKDD Explorations Newsletter
, vol.15
, Issue.2
, pp. 49-60
-
-
Vanschoren, J.1
Van Rijn, J.N.2
Bischl, B.3
Torgo, L.4
|