-
1
-
-
33751531805
-
Aggregate features and AdaBoost for music classification
-
James Bergstra, Norman Casagrande, Dumitru Erhan, Douglas Eck, and Baĺazs Ḱegl. Aggregate features and AdaBoost for music classification. Machine Learning, 65:473-484, 2006.
-
(2006)
Machine Learning
, vol.65
, pp. 473-484
-
-
Bergstra, J.1
Casagrande, N.2
Erhan, D.3
Eck, D.4
Ḱegl, B.5
-
3
-
-
11844294062
-
Algorithmic clustering of music based on string compression
-
Rudi Cilibrasi, Paul Vit́anyi, and Ronald de Wolf. Algorithmic clustering of music based on string compression. Computer Music Journal, 28(4):49-67, 2004.
-
(2004)
Computer Music Journal
, vol.28
, Issue.4
, pp. 49-67
-
-
Cilibrasi, R.1
Vit́anyi, P.2
Wolf, R.D.3
-
5
-
-
0036161257
-
Linear programming boosting via column generation
-
A. Demiriz, K. P. Bennett, and J. Shawe-Taylor. Linear programming boosting via column generation. Machine Learning, 46(1-3):225-254, 2002.
-
(2002)
Machine Learning
, vol.46
, Issue.1-3
, pp. 225-254
-
-
Demiriz, A.1
Bennett, K.P.2
Shawe-Taylor, J.3
-
6
-
-
84963894716
-
Musical sequence comparison for melodic and rhythmic similarities
-
Takashi Kadota, Masahiro Hirao, Akira Ishino, Masayuki Takeda, Ayumi Shinohara, and Fumihiro Matsuo. Musical sequence comparison for melodic and rhythmic similarities. In Proc. 8th International Symposium on String Processing and Information Retrieval (SPIRE '01), pages 111-122, 2001.
-
(2001)
Proc. 8th International Symposium on String Processing and Information Retrieval (SPIRE '01)
, pp. 111-122
-
-
Kadota, T.1
Hirao, M.2
Ishino, A.3
Takeda, M.4
Shinohara, A.5
Matsuo, F.6
-
7
-
-
84883575579
-
Fast string kernels using inexact matching for protein sequences
-
Chiristina Leslie and Rui Kang. Fast string kernels using inexact matching for protein sequences. Journal of Machine Learning Research, 5:1435-1455, 2004.
-
(2004)
Journal of Machine Learning Research
, vol.5
, pp. 1435-1455
-
-
Leslie, C.1
Kang, R.2
-
8
-
-
1542714925
-
Mismatch string kernels for discriminative protein classification
-
Christina S. Leslie, Eleazar Eskin, Adiel Cohen, Jason Weston, and William Stafford Noble. Mismatch string kernels for discriminative protein classification. Bioinformatics, 20(4):467-476, 2004.
-
(2004)
Bioinformatics
, vol.20
, Issue.4
, pp. 467-476
-
-
Leslie, C.S.1
Eskin, E.2
Cohen, A.3
Weston, J.4
Noble, W.S.5
-
12
-
-
0041965869
-
Text classification using string kernels
-
Huma Lodhi, Craig Saunders, John Shawe-Taylor, Nello Cristianini, Chris Watkins, and Bernhard Scholkopf. Text classification using string kernels. Journal of Machine Learning Research, 2:563-569, 2002.
-
(2002)
Journal of Machine Learning Research
, vol.2
, pp. 563-569
-
-
Lodhi, H.1
Saunders, C.2
Shawe-Taylor, J.3
Cristianini, N.4
Watkins, C.5
Scholkopf, B.6
-
14
-
-
70449674483
-
Genre classification using chords and stochastic language models
-
Carlos Ṕerez-Sancho, David Rizo, and Jośe Manuel Ĩnesta. Genre classification using chords and stochastic language models. Connection Science, 21:145-159, 2009.
-
(2009)
Connection Science
, vol.21
, pp. 145-159
-
-
Ṕerez-Sancho, C.1
Rizo, D.2
Ĩnesta, J.M.3
-
16
-
-
22944450055
-
Using string kernels to identify famous performers from their playing style
-
Craig Saunders, David R. Hardoon, John Shawe-taylor, and Gerhard Widmer. Using string kernels to identify famous performers from their playing style. In Proceedings of the 15th European Conference on Machine Learning, pages 384-395, 2004.
-
(2004)
Proceedings of the 15th European Conference on Machine Learning
, pp. 384-395
-
-
Saunders, C.1
Hardoon, D.R.2
Shawe-Taylor, J.3
Widmer, G.4
-
17
-
-
0032280519
-
Boosting the margin: A new explanation for the effectiveness of voting methods
-
Robert E. Schapire, Yoav Freund, Peter Bartlett, and Wen S. Lee. Boosting the margin: a new explanation for the effectiveness of voting methods. The Annals of Statistics, 26(5):1651-1686, 1998.
-
(1998)
The Annals of Statistics
, vol.26
, Issue.5
, pp. 1651-1686
-
-
Schapire, R.E.1
Freund, Y.2
Bartlett, P.3
Lee, W.S.4
-
20
-
-
70349263820
-
Theory and algorithm for learning with dissimilarity functions
-
Liwei Wang, Masashi Sugiyama, Cheng Yang, Kohei Hatano, and Jufu Feng. Theory and algorithm for learning with dissimilarity functions. Neural Computation, 21:1459-1484, 2009.
-
(2009)
Neural Computation
, vol.21
, pp. 1459-1484
-
-
Wang, L.1
Sugiyama, M.2
Yang, C.3
Hatano, K.4
Feng, J.5
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