-
1
-
-
24044435942
-
Reducing multiclass to binary: A unifying approach for margin classifiers
-
E. L. Allwein, R. E. Schapire, and Y. Singer. Reducing multiclass to binary: a unifying approach for margin classifiers. Journal Machine Learning Research, 1:113-141, 2000. (Pubitemid 33738778)
-
(2001)
Journal of Machine Learning Research
, vol.1
, Issue.2
, pp. 113-141
-
-
Allwein, E.L.1
Schapire, R.E.2
Singer, Y.3
-
3
-
-
85162050606
-
Label embedding trees for large multi-class tasks
-
S. Bengio, J. Weston, and D. Grangier. Label embedding trees for large multi-class tasks. In NIPS, 2010.
-
(2010)
NIPS
-
-
Bengio, S.1
Weston, J.2
Grangier, D.3
-
7
-
-
0000460102
-
Interval estimation for a binomial proportion
-
L. D. Brown, T. T. Cai, and A. DasGupta. Interval estimation for a binomial proportion. Statistical Science, 16(2):101-117, 2001.
-
(2001)
Statistical Science
, vol.16
, Issue.2
, pp. 101-117
-
-
Brown, L.D.1
Cai, T.T.2
Das Gupta, A.3
-
8
-
-
0010442827
-
On the algorithmic implementation of multiclass kernel-based vector machines
-
K. Crammer and Y. Singer. On the algorithmic implementation of multiclass kernel-based vector machines. Journal Machine Learning Research, 2001.
-
(2001)
Journal Machine Learning Research
-
-
Crammer, K.1
Singer, Y.2
-
9
-
-
0036568032
-
On the learnability and design of output codes for multiclass problems
-
DOI 10.1023/A:1013637720281, Computational Learning Theory
-
K. Crammer and Y. Singer. On the learnability and design of output codes for multiclass problems. Machine Learning, 47(2):201-233, 2002. (Pubitemid 34126110)
-
(2002)
Machine Learning
, vol.47
, Issue.2-3
, pp. 201-233
-
-
Crammer, K.1
Singer, Y.2
-
10
-
-
33646371466
-
Online passive aggressive algorithms
-
K. Crammer, O. Dekel, J. Keshet, S. Shalev-Shwartz, and Y. Singer. Online passive aggressive algorithms. Journal Machine Learning Research, 7:551-585, 2006.
-
(2006)
Journal Machine Learning Research
, vol.7
, pp. 551-585
-
-
Crammer, K.1
Dekel, O.2
Keshet, J.3
Shalev-Shwartz, S.4
Singer, Y.5
-
11
-
-
84877772139
-
Multiclass learning approaches: A theoretical comparison with implications
-
A. Daniely, S. Sabato, and S. Shalev-Shwartz. Multiclass learning approaches: A theoretical comparison with implications. In NIPS, 2012.
-
(2012)
NIPS
-
-
Daniely, A.1
Sabato, S.2
Shalev-Shwartz, S.3
-
12
-
-
84877760312
-
Large scale distributed deep networks
-
J. Dean, G. S. Corrado, R. Monga, K. Chen, M. Devin, Q. V. Le, M. Z. Mao, M. Ranzato, A. Senoir, P. Tucker, K. Yang, and A. Ng. Large scale distributed deep networks. In NIPS, 2012.
-
(2012)
NIPS
-
-
Dean, J.1
Corrado, G.S.2
Monga, R.3
Chen, K.4
Devin, M.5
Le, Q.V.6
Mao, M.Z.7
Ranzato, M.8
Senoir, A.9
Tucker, P.10
Yang, K.11
Ng, A.12
-
13
-
-
85198028989
-
ImageNet: A large-Scale hierarchical image database
-
J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei. ImageNet: A Large-Scale Hierarchical Image Database. In IEEE Conf. Computer Vision Pattern Recognition (CVPR), 2009.
-
(2009)
IEEE Conf. Computer Vision Pattern Recognition (CVPR)
-
-
Deng, J.1
Dong, W.2
Socher, R.3
Li, L.-J.4
Li, K.5
Fei-Fei, L.6
-
14
-
-
79960157842
-
What does classifying more than 10,000 image categories tell us
-
J. Deng, A. Berg, K. Li, and L. Fei-Fei. What does classifying more than 10,000 image categories tell us? In European Conf. Computer Vision (ECCV), 2010.
-
(2010)
European Conf. Computer Vision (ECCV)
-
-
Deng, J.1
Berg, A.2
Li, K.3
Fei-Fei, L.4
-
15
-
-
85162353669
-
Fast and balanced: Eficient label tree learning for large scale object recognition
-
J. Deng, S. Satheesh, A. C. Berg, and L. Fei-Fei. Fast and balanced: Eficient label tree learning for large scale object recognition. In NIPS, 2011.
-
(2011)
NIPS
-
-
Deng, J.1
Satheesh, S.2
Berg, A.C.3
Fei-Fei, L.4
-
16
-
-
0000406788
-
Solving multiclass learning problems via error-correcting output codes
-
T. G. Dietterich and G. Bakiri. Solving multiclass learning problems via error-correcting output codes. Journal Artificial Intelligence Research, 2:264-286, 1995.
-
(1995)
Journal Artificial Intelligence Research
, vol.2
, pp. 264-286
-
-
Dietterich, T.G.1
Bakiri, G.2
-
17
-
-
80052250414
-
Adaptive subgradient methods for online learning and stochastic optimization
-
J. Duchi, E. Hazan, and Y. Singer. Adaptive subgradient methods for online learning and stochastic optimization. Journal Machine Learning Research, 12:2121-2159, 2011.
-
(2011)
Journal Machine Learning Research
, vol.12
, pp. 2121-2159
-
-
Duchi, J.1
Hazan, E.2
Singer, Y.3
-
20
-
-
77955176428
-
Completely lazy learning
-
E. K. Garcia, S. Feldman, M. R. Gupta, and S. Srivastava. Completely lazy learning. IEEE Trans. Knowledge and Data Engineering, 22(9):1274-1285, 2010.
-
(2010)
IEEE Trans. Knowledge and Data Engineering
, vol.22
, Issue.9
, pp. 1274-1285
-
-
Garcia, E.K.1
Feldman, S.2
Gupta, M.R.3
Srivastava, S.4
-
22
-
-
34247576789
-
The pyramid match kernel: Efficient learning with sets of features
-
K. Grauman and T. Darrell. The pyramid match kernel: Eficient learning with sets of features. Journal Machine Learning Research, 8:725-760, April 2007. (Pubitemid 46677049)
-
(2007)
Journal of Machine Learning Research
, vol.8
, pp. 725-760
-
-
Grauman, K.1
Darrell, T.2
-
23
-
-
51949092342
-
Learning and using taxonomies for fast visual categorization
-
G. Grifin and P. Perona. Learning and using taxonomies for fast visual categorization. In CVPR, 2008.
-
(2008)
CVPR
-
-
Grifin, G.1
Perona, P.2
-
24
-
-
0036088194
-
Combining discriminant models with new multi-class SVMs
-
DOI 10.1007/s100440200015
-
Y. Guermeur. Combining discriminant models with new multi-class SVMs. Pattern Analysis and Applications, 5:168-179, 2002. (Pubitemid 40830130)
-
(2002)
Pattern Analysis and Applications
, vol.5
, Issue.2
, pp. 168-179
-
-
Guermeur, Y.1
-
28
-
-
84876231242
-
-
ImageNet classification with deep convolutional neural networks
-
A. Krizhevsky, I. Sutskever, and G. E. Hinton. ImageNet classification with deep convolutional neural networks. In NIPS, 2012.
-
(2012)
NIPS
-
-
Krizhevsky, A.1
Sutskever, I.2
Hinton, G.E.3
-
29
-
-
2142775432
-
Multicategory support vector machines
-
Y. Lee, Y. Lin, and G. Wahba. Multicategory support vector machines. Journal American Statistical Association, 99(465):67-81, 2004.
-
(2004)
Journal American Statistical Association
, vol.99
, Issue.465
, pp. 67-81
-
-
Lee, Y.1
Lin, Y.2
Wahba, G.3
-
31
-
-
80052870284
-
Large-scale image classification: Fast feature extraction and SVM training
-
Y. Lin, F. Lv, S. Zhu, M. Yang, T. Cour, K. Yu, L. Cao, and T. Huang. Large-scale image classification: Fast feature extraction and SVM training. In CVPR, 2011.
-
(2011)
CVPR
-
-
Lin, Y.1
Lv, F.2
Zhu, S.3
Yang, M.4
Cour, T.5
Yu, K.6
Cao, L.7
Huang, T.8
-
32
-
-
84877770961
-
-
MIT Press, Cambridge, MA
-
M. Mohri, A. Rostamizadeh, and A. Talwalkar. Foundations of Machine Learning. MIT Press, Cambridge, MA, 2012.
-
(2012)
Foundations of Machine Learning
-
-
Mohri, M.1
Rostamizadeh, A.2
Talwalkar, A.3
-
34
-
-
33845592987
-
Scalable recognition with a vocabulary tree
-
D. Nister and H. Stewenius. Scalable recognition with a vocabulary tree. In CVPR, 2006.
-
(2006)
CVPR
-
-
Nister, D.1
Stewenius, H.2
-
35
-
-
46649096871
-
Towards Target 1 of the Global Strategy for Plant Conservation: A working list of all known plant species - Progress and prospects
-
A. Paton, N. Brummitt, R. Govaerts, K. Harman, S. Hinchclifie, B. Allkin, and E. Lughadha. Target 1 of the global strategy for plant conservation: a working list of all known plant speciesprogress and prospects. Taxon, 57:602-611, 2008. (Pubitemid 351934178)
-
(2008)
Taxon
, vol.57
, Issue.2
, pp. 602-611
-
-
Paton, A.J.1
Brummitt, N.2
Govaerts, R.3
Harman, K.4
Hinchcliffe, S.5
Allkin, B.6
Lughadha, E.N.7
-
36
-
-
84866652997
-
Towards good practice in large-scale learning for image classification
-
F. Perronnin, Z. Akata, Z. Harchaoui, and C. Schmid. Towards good practice in large-scale learning for image classification. In CVPR, 2012.
-
(2012)
CVPR
-
-
Perronnin, F.1
Akata, Z.2
Harchaoui, Z.3
Schmid, C.4
-
38
-
-
80052885179
-
High-dimensional signature compression for large-scale image classification
-
J. Sanchez and F. Perronnin. High-dimensional signature compression for large-scale image classification. In CVPR, 2011.
-
(2011)
CVPR
-
-
Sanchez, J.1
Perronnin, F.2
-
40
-
-
84901631260
-
Multiclass-multilabel classication with more classes than examples
-
O. Shamir and O. Dekel. Multiclass-multilabel classication with more classes than examples. In Proc. AISTATS, 2010.
-
(2010)
Proc. AISTATS
-
-
Shamir, O.1
Dekel, O.2
-
41
-
-
15844413351
-
A comprehensive evaluation of multicategory classification methods for microarray gene expression cancer diagnosis
-
DOI 10.1093/bioinformatics/bti033
-
A. Statnikov, C. F. Aliferis, I. Tsamardinos, D. Hardin, and S. Levy. A comprehensive evaluation of multicategory classification methods for microarray gene expression cancer diagnosis. Bioinformatics, 21(5):631-643, 2005. (Pubitemid 40424789)
-
(2005)
Bioinformatics
, vol.21
, Issue.5
, pp. 631-643
-
-
Statnikov, A.1
Aliferis, C.F.2
Tsamardinos, I.3
Hardin, D.4
Levy, S.5
-
43
-
-
71149107027
-
Ranking with ordered weighted pairwise classifi- cation
-
N. Usunier, D. Bufioni, and P. Gallinari. Ranking with ordered weighted pairwise classifi- cation. In ICML, 2009.
-
(2009)
ICML
-
-
Usunier, N.1
Bufioni, D.2
Gallinari, P.3
-
45
-
-
0003425673
-
-
Technical Report CSD- TR- 98-04 Dept. Computer Science, Royal Holloway, University London
-
J. Weston and C. Watkins. Multi-class support vector machines. Technical Report CSD- TR-98-04 Dept. Computer Science, Royal Holloway, University London, 1998.
-
(1998)
Multi-class Support Vector Machines
-
-
Weston, J.1
Watkins, C.2
-
47
-
-
84867117593
-
Wsabie: Scaling up to large vocabulary image annotation
-
J. Weston, S. Bengio, and N. Usunier. Wsabie: Scaling up to large vocabulary image annotation. In Intl. Joint Conf. Artificial Intelligence, (IJCAI), pages 2764-2770, 2011.
-
(2011)
Intl. Joint Conf. Artificial Intelligence, (IJCAI)
, pp. 2764-2770
-
-
Weston, J.1
Bengio, S.2
Usunier, N.3
-
48
-
-
84897475513
-
Label partitioning for sublinear ranking
-
J. Weston, A. Makadia, and H. Yee. Label partitioning for sublinear ranking. In ICML, 2013a.
-
(2013)
ICML
-
-
Weston, J.1
Makadia, A.2
Yee, H.3
-
50
-
-
77956554074
-
Dual averaging methods for regularized stochastic learning and online optimization
-
L. Xiao. Dual averaging methods for regularized stochastic learning and online optimization. Microsoft Research Technical Report MSR-TR-2010-23, 2010.
-
(2010)
Microsoft research technical report msr-tr
, pp. 2010-2023
-
-
Xiao, L.1
-
51
-
-
26944483874
-
Statistical analysis of some multi-category large margin classification methods
-
T. Zhang. Statistical analysis of some multi-category large margin classification methods. Journal Machine Learning Research, 5:1225-1251, 2004.
-
(2004)
Journal Machine Learning Research
, vol.5
, pp. 1225-1251
-
-
Zhang, T.1
|