-
2
-
-
0035478854
-
Random forests
-
L. Breiman. Random forests. Machine learning, 45(1): 5-32, 2001.
-
(2001)
Machine Learning
, vol.45
, Issue.1
, pp. 5-32
-
-
Breiman, L.1
-
4
-
-
84885006033
-
Instance annotation for multi-instance multi-label learning
-
F. Briggs, X.Z. Fern, R. Raich, and Q. Lou. Instance annotation for multi-instance multi-label learning. Transactions on Knowledge Discovery from Data (TKDD), 2012, 2012.
-
(2012)
Transactions on Knowledge Discovery from Data (TKDD), 2012
-
-
Briggs, F.1
Fern, X.Z.2
Raich, R.3
Lou, Q.4
-
5
-
-
84918783217
-
Acoustic classification of multiple simultaneous bird species: A multi-instance multi-label approach
-
F. Briggs, B. Lakshminarayanan, L. Neal, X.Z. Fern, R. Raich, S.J.K. Hadley, A.S. Hadley, and M.G. Betts. Acoustic classification of multiple simultaneous bird species: A multi-instance multi-label approach. The Journal of the Acoustical Society of America, 131:4640, 2012.
-
(2012)
The Journal of the Acoustical Society of America
, vol.131
, pp. 4640
-
-
Briggs, F.1
Lakshminarayanan, B.2
Neal, L.3
Fern, X.Z.4
Raich, R.5
Hadley, S.J.K.6
Hadley, A.S.7
Betts, M.G.8
-
8
-
-
84862278688
-
Music genre classification using lbp textural features
-
Yandre MG Costa, LS Oliveira, Alessandro L Koerich, Fabien Gouyon, and JG Martins. Music genre classification using LBP textural features. Signal Proc., 92: 2723-2737, 2012.
-
(2012)
Signal Proc.
, vol.92
, pp. 2723-2737
-
-
Costa, Y.M.G.1
Oliveira, L.S.2
Koerich, A.L.3
Gouyon, F.4
Martins, J.G.5
-
9
-
-
33646430006
-
Extremely randomized trees
-
April, ISSN 0885-6125. doi: 10.1007/s10994-006-6226-1
-
P. Geurts, D. Ernst, and L. Wehenkel. Extremely randomized trees. Mach. Learn., 63(1):3-42, April 2006. ISSN 0885-6125. doi: 10.1007/s10994-006-6226-1.
-
(2006)
Mach. Learn.
, vol.63
, Issue.1
, pp. 3-42
-
-
Geurts, P.1
Ernst, D.2
Wehenkel, L.3
-
10
-
-
84867720412
-
-
arXiv preprint arXiv:1207.0580
-
Geoffrey E Hinton, Nitish Srivastava, Alex Krizhevsky, Ilya Sutskever, and Ruslan R Salakhutdinov. Improving neural networks by preventing co-adaptation of feature detectors. arXiv preprint arXiv:1207.0580, 2012.
-
(2012)
Improving Neural Networks by Preventing Co-adaptation of Feature Detectors
-
-
Hinton, G.E.1
Srivastava, N.2
Krizhevsky, A.3
Sutskever, I.4
Salakhutdinov, R.R.5
-
12
-
-
0032203257
-
Gradient-based learning applied to document recognition
-
Yann LeCun, Léon Bottou, Yoshua Bengio, and Patrick Haffner. Gradient-based learning applied to document recognition. Proceedings of the IEEE, 86(11):2278- 2324, 1998.
-
(1998)
Proceedings of the IEEE
, vol.86
, Issue.11
, pp. 2278-2324
-
-
Lecun, Y.1
Bottou, L.2
Bengio, Y.3
Haffner, P.4
-
13
-
-
0001857994
-
Efficient backprop
-
Springer
-
Yann LeCun, Léon Bottou, Genevieve B Orr, and Klaus- Robert Müller. Efficient backprop. In Neural networks: Tricks of the trade, pages 9-50. Springer, 1998.
-
(1998)
Neural Networks: Tricks of the Trade
, pp. 9-50
-
-
Lecun, Y.1
Bottou, L.2
Orr, G.B.3
Müller, K.-R.4
-
14
-
-
84864036295
-
Efficient sparse coding algorithms
-
Honglak Lee, Alexis Battle, Rajat Raina, and Andrew Ng. Efficient sparse coding algorithms. In Advances in neural information processing systems, pages 801-808, 2006.
-
(2006)
Advances in Neural Information Processing Systems
, pp. 801-808
-
-
Lee, H.1
Battle, A.2
Raina, R.3
Ng, A.4
-
17
-
-
84893242727
-
A conditional multinomial mixture model for superset label learning
-
Liping Liu and Thomas Dietterich. A conditional multinomial mixture model for superset label learning. In Advances in Neural Information Processing Systems 25, pages 557-565, 2012.
-
(2012)
Advances in Neural Information Processing Systems
, vol.25
, pp. 557-565
-
-
Liu, L.1
Dietterich, T.2
-
18
-
-
76749107542
-
Online learning for matrix factorization and sparse coding
-
Julien Mairal, Francis Bach, Jean Ponce, and Guillermo Sapiro. Online learning for matrix factorization and sparse coding. J. Machine Learn. Res., 11:19-60, 2010.
-
(2010)
J. Machine Learn. Res.
, vol.11
, pp. 19-60
-
-
Mairal, J.1
Bach, F.2
Ponce, J.3
Sapiro, G.4
-
19
-
-
80051605465
-
Timefrequency segmentation of bird song in noisy acoustic environments
-
L. Neal, F. Briggs, R. Raich, and X. Fern. Timefrequency segmentation of bird song in noisy acoustic environments. In Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing, 2011.
-
(2011)
Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing
-
-
Neal, L.1
Briggs, F.2
Raich, R.3
Fern, X.4
-
20
-
-
84878606595
-
Bag-of-audio-words approach for multimedia event classification
-
S. Pancoast and M. Akbacak. Bag-of-audio-words approach for multimedia event classification. In INTERSPEECH, 2012.
-
(2012)
Interspeech
-
-
Pancoast, S.1
Akbacak, M.2
-
21
-
-
80052236046
-
Mulan: A java library for multi-label learning
-
July 12
-
Grigorios Tsoumakas, Eleftherios Spyromitros-Xioufis, Jozef Vilcek, and Ioannis Vlahavas. Mulan: A java library for multi-label learning. Journal of Machine Learning Research (JMLR), 12:2411-2414, July 12 2011.
-
(2011)
Journal of Machine Learning Research (JMLR)
, vol.12
, pp. 2411-2414
-
-
Tsoumakas, G.1
Spyromitros-Xioufis, E.2
Vilcek, J.3
Vlahavas, I.4
-
22
-
-
62649132781
-
Ml-RBF: RBF neural networks for multi-label learning
-
Min-Ling Zhang. ML-RBF: RBF neural networks for multi-label learning. Neural Processing Letters, 29(2): 61-74, 2009.
-
(2009)
Neural Processing Letters
, vol.29
, Issue.2
, pp. 61-74
-
-
Zhang, M.-L.1
-
23
-
-
68149124491
-
Multi-instance clustering with applications to multi-instance prediction
-
M.L. Zhang and Z.H. Zhou. Multi-instance clustering with applications to multi-instance prediction. Applied Intelligence, 31(1):47-68, 2009.
-
(2009)
Applied Intelligence
, vol.31
, Issue.1
, pp. 47-68
-
-
Zhang, M.L.1
Zhou, Z.H.2
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