-
1
-
-
33745616114
-
A machine learning information retrieval approach to protein fold recognition
-
DOI 10.1093/bioinformatics/btl102
-
Jianlin Cheng and Pierre Baldi. A machine learning information retrieval approach to protein fold recognition. Bioinformatics, 22(12):1456-1463, June 2006. (Pubitemid 43985316)
-
(2006)
Bioinformatics
, vol.22
, Issue.12
, pp. 1456-1463
-
-
Cheng, J.1
Baldi, P.2
-
2
-
-
14044266328
-
Profile-based string kernels for remote homology detection and motif extraction
-
Proceedings - 2004 IEEE Computational Systems Bioinformatics Conference, CSB 2004
-
Rui Kuang, Eugene Ie, Ke Wang, Kai Wang, Mahira Siddiqi, Yoav Freund, and Christina S. Leslie. Profile-based string kernels for remote homology detection and motif extraction. In CSB, pages 152-160, 2004. (Pubitemid 40276248)
-
(2004)
Proceedings - 2004 IEEE Computational Systems Bioinformatics Conference, CSB 2004
, pp. 152-160
-
-
Kuang, R.1
Ie, E.2
Wang, K.3
Wang, K.4
Siddiqi, M.5
Freund, Y.6
Leslie, C.7
-
3
-
-
85156187897
-
Mismatch string kernels for SVM protein classification
-
Christina S. Leslie, Eleazar Eskin, Jason Weston, and William Stafford Noble. Mismatch string kernels for SVM protein classification. In NIPS, pages 1417-1424, 2002.
-
(2002)
NIPS
, pp. 1417-1424
-
-
Leslie, C.S.1
Eskin, E.2
Weston, J.3
Stafford Noble, W.4
-
4
-
-
31844439279
-
Large scale genomic sequence SVM classifiers
-
New York, NY, USA
-
Sören Sonnenburg, Gunnar Rätsch, and Bernhard Schölkopf. Large scale genomic sequence SVM classifiers. In ICML '05, pages 848-855, New York, NY, USA, 2005.
-
(2005)
ICML '05
, pp. 848-855
-
-
Sonnenburg, S.1
Rätsch, G.2
Schölkopf, B.3
-
6
-
-
84883575579
-
Fast string kernels using inexact matching for protein sequences
-
Christina Leslie and Rui Kuang. Fast string kernels using inexact matching for protein sequences. J. Mach. Learn. Res., 5:1435-1455, 2004.
-
(2004)
J. Mach. Learn. Res.
, vol.5
, pp. 1435-1455
-
-
Leslie, C.1
Kuang, R.2
-
7
-
-
25144481906
-
Semi-supervised protein classification using cluster kernels
-
DOI 10.1093/bioinformatics/bti497
-
JasonWeston, Christina Leslie, Eugene Ie, Dengyong Zhou, Andre Elisseeff, andWilliam Stafford Noble. Semi-supervised protein classification using cluster kernels. Bioinformatics, 21(15):3241-3247, 2005. (Pubitemid 41418437)
-
(2005)
Bioinformatics
, vol.21
, Issue.15
, pp. 3241-3247
-
-
Weston, J.1
Leslie, C.2
Le, E.3
Zhou, D.4
Elisseeff, A.5
Noble, W.S.6
-
12
-
-
24944584599
-
Efficient computation of gapped substring kernels on large alphabets
-
Juho Rousu and John Shawe-Taylor. Efficient computation of gapped substring kernels on large alphabets. J. Mach. Learn. Res., 6:1323-1344, 2005.
-
(2005)
J. Mach. Learn. Res.
, vol.6
, pp. 1323-1344
-
-
Rousu, J.1
Shawe-Taylor, J.2
-
13
-
-
77957967988
-
Fast protein homology and fold detection with sparse spatial sample kernels
-
Pavel Kuksa, Pai-Hsi Huang, and Vladimir Pavlovic. Fast protein homology and fold detection with sparse spatial sample kernels. In ICPR 2008, 2008.
-
(2008)
ICPR 2008
-
-
Kuksa, P.1
Huang, P.2
Pavlovic, V.3
-
14
-
-
0035014847
-
Multi-class protein fold recognition using support vector machines and neural networks
-
Chris H.Q. Ding and Inna Dubchak. Multi-class protein fold recognition using support vector machines and neural networks. Bioinformatics, 17(4):349-358, 2001. (Pubitemid 32421929)
-
(2001)
Bioinformatics
, vol.17
, Issue.4
, pp. 349-358
-
-
Ding, C.H.Q.1
Dubchak, I.2
-
15
-
-
34547692527
-
Multi-class protein classification using adaptive codes
-
Iain Melvin, Eugene Ie, Jason Weston, William Stafford Noble, and Christina Leslie. Multi-class protein classification using adaptive codes. J. Mach. Learn. Res., 8:1557-1581, 2007. (Pubitemid 47210272)
-
(2007)
Journal of Machine Learning Research
, vol.8
, pp. 1557-1581
-
-
Melvin, I.1
Ie, E.2
Weston, J.3
Noble, W.S.4
Leslie, C.5
-
16
-
-
1542439119
-
A comparative study on content-based music genre classification
-
New York, NY, USA. ACM
-
Tao Li, Mitsunori Ogihara, and Qi Li. A comparative study on content-based music genre classification. In SIGIR '03, pages 282-289, New York, NY, USA, 2003. ACM.
-
(2003)
SIGIR '03
, pp. 282-289
-
-
Li, T.1
Ogihara, M.2
Li, Q.3
-
17
-
-
58049178302
-
On the role of local matching for efficient semisupervised protein sequence classification
-
Pavel Kuksa, Pai-Hsi Huang, and Vladimir Pavlovic. On the role of local matching for efficient semisupervised protein sequence classification. In BIBM, 2008.
-
(2008)
BIBM
-
-
Kuksa, P.1
Huang, P.2
Pavlovic, V.3
-
18
-
-
0034048878
-
A discriminative framework for detecting remote protein homologies
-
DOI 10.1089/10665270050081405
-
Tommi Jaakkola, Mark Diekhans, and David Haussler. A discriminative framework for detecting remote protein homologies. In Journal of Computational Biology, volume 7, pages 95-114, 2000. (Pubitemid 30412163)
-
(2000)
Journal of Computational Biology
, vol.7
, Issue.1-2
, pp. 95-114
-
-
Jaakkola, T.1
Diekhans, M.2
Haussler, D.3
|