Result 1 to 20 of 202 total
An extensive experimental comparison of methods for multi-label learning. (English)
Pattern Recognition 45, No. 9, 3084-3104 (2012).
1
Estimating the risk of fire outbreaks in the natural environment. (English)
Data Min. Knowl. Discov. 24, No. 2, 411-442 (2012).
2
Two stage architecture for multi-label learning. (English)
Pattern Recognition 45, No. 3, 1019-1034 (2012).
3
Learning model trees from evolving data streams. (English)
Data Min. Knowl. Discov. 23, No. 1, 128-168 (2011).
4
Global and local spatial autocorrelation in predictive clustering trees. (English)
Elomaa, Tapio (ed.) et al., Discovery science. 14th international conference, DS 2011, Espoo, Finland, October 5‒7, 2011. Proceedings. Berlin: Springer (ISBN 978-3-642-24476-6/pbk). Lecture Notes in Computer Science 6926. Lecture Notes in Artificial Intelligence, 307-322 (2011).
5
Predicting structured outputs $k$-nearest neighbours method. (English)
Elomaa, Tapio (ed.) et al., Discovery science. 14th international conference, DS 2011, Espoo, Finland, October 5‒7, 2011. Proceedings. Berlin: Springer (ISBN 978-3-642-24476-6/pbk). Lecture Notes in Computer Science 6926. Lecture Notes in Artificial Intelligence, 262-276 (2011).
6
Dual layer voting method for efficient multi-label classification. (English)
Vitrià, Jordi (ed.) et al., Pattern recognition and image analysis. 5th Iberian conference, IbPRIA 2011, Las Palmas de Gran Canaria, Spain, June 8‒10, 2011. Proceedings. Berlin: Springer (ISBN 978-3-642-21256-7/pbk). Lecture Notes in Computer Science 6669, 232-239 (2011).
7
Network regression with predictive clustering trees. (English)
Gunopulos, Dimitrios (ed.) et al., Machine learning and knowledge discovery in databases. European conference, ECML PKDD 2011, Athens, Greece, September 5‒9, 2011. Proceedings, Part III. Berlin: Springer (ISBN 978-3-642-23807-9/pbk). Lecture Notes in Computer Science 6913. Lecture Notes in Artificial Intelligence, 333-348 (2011).
8
Hierarchical annotation of medical images. (English)
Pattern Recognition 44, No. 10-11, 2436-2449 (2011).
9
Inductive databases and constraint-based data mining. (English)
Valtchev, Petko (ed.) et al., Formal concept analysis. 9th international conference, ICFCA 2011, Nicosia, Cyprus, May 2‒6, 2011. Proceedings. Berlin: Springer (ISBN 978-3-642-20513-2/pbk). Lecture Notes in Computer Science 6628. Lecture Notes in Artificial Intelligence, 1-17 (2011).
10
Learning model trees from evolving data streams (English)
Data Min. Knowl. Discov. 23, No. 1, 128-168 (2011).
11
Network regression with predictive clustering trees (English)
ECML/PKDD (3), 333-348 (2011).
12
Inductive databases and constraint-based data mining (English)
ICFCA, 1-17 (2011).
13
Incremental multi-target model trees for data streams (English)
SAC, 988-993 (2011).
14
Regression on evolving multi-relational data streams (English)
EDBT/ICDT Ph.D. Workshop, 1-7 (2011).
15
Dual layer voting method for efficient multi-label classification (English)
IbPRIA, 232-239 (2011).
16
Speeding-up Hoeffding-based regression trees with options (English)
ICML, 537-544 (2011).
17
Predicting structured outputs k-nearest neighbours method (English)
Discovery Science, 262-276 (2011).
18
Global and local spatial autocorrelation in predictive clustering trees (English)
Discovery Science, 307-322 (2011).
19
Detection of visual concepts and annotation of images using ensembles of trees for hierarchical multi-label classification. (English)
Ünay, Devrim (ed.) et al., Recognizing patterns in signals, speech, images and videos. ICPR 2010 contests, Istanbul, Turkey, August 23‒26, 2010. Contest reports. Berlin: Springer (ISBN 978-3-642-17710-1/pbk). Lecture Notes in Computer Science 6388, 152-161 (2010).
20
Result 1 to 20 of 202 total
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