-
2
-
-
0029183827
-
Efficient classification for multiclass problems using modular neural networks
-
R. Anand, K. G. Mehrotra, C. K. Mohan, and S. Ranka. Efficient classification for multiclass problems using modular neural networks. IEEE Transactions on Neural Networks, 6:117-124, 1995.
-
(1995)
IEEE Transactions on Neural Networks
, vol.6
, pp. 117-124
-
-
Anand, R.1
Mehrotra, K.G.2
Mohan, C.K.3
Ranka, S.4
-
4
-
-
0032645080
-
An empirical comparison of voting classification algorithms: Bagging, boosting, and variants
-
E. Bauer and R. Kohavi. An empirical comparison of voting classification algorithms: Bagging, boosting, and variants. Machine Learning, 36:105-169, 1999.
-
(1999)
Machine Learning
, vol.36
, pp. 105-169
-
-
Bauer, E.1
Kohavi, R.2
-
5
-
-
33744958288
-
Nearest neighbor classification from multiple feature subsets
-
S. D. Bay. Nearest neighbor classification from multiple feature subsets. Intelligent Data Analysis, 3(3):191-209, 1999.
-
(1999)
Intelligent Data Analysis
, vol.3
, Issue.3
, pp. 191-209
-
-
Bay, S.D.1
-
6
-
-
0003408496
-
-
Department of Information and Computer Science, University of California at Irvine, Irvine CA
-
C. L. Blake and C. J. Merz. UCI repository of machine learning databases, http:// www.ics.uci.edu/̃mlearn/MLRepository.html, 1998. Department of Information and Computer Science, University of California at Irvine, Irvine CA.
-
(1998)
UCI Repository of Machine Learning Databases
-
-
Blake, C.L.1
Merz, C.J.2
-
7
-
-
0030211964
-
Bagging predictors
-
L. Breiman. Bagging predictors. Machine Learning, 24(2):123-140, 1996.
-
(1996)
Machine Learning
, vol.24
, Issue.2
, pp. 123-140
-
-
Breiman, L.1
-
8
-
-
0003802343
-
-
Wadsworth & Brooks, Pacific Grove, CA
-
L. Breiman, J. Friedman, R. Olshen, and C. Stone. Classification and Regression Trees. Wadsworth & Brooks, Pacific Grove, CA, 1984.
-
(1984)
Classification and Regression Trees
-
-
Breiman, L.1
Friedman, J.2
Olshen, R.3
Stone, C.4
-
10
-
-
34249966007
-
The CN2 induction algorithm
-
P. Clark and T. Niblett. The CN2 induction algorithm. Machine Learning, 3(4):261-283, 1989.
-
(1989)
Machine Learning
, vol.3
, Issue.4
, pp. 261-283
-
-
Clark, P.1
Niblett, T.2
-
12
-
-
0032596610
-
A simple, fast, and effective rule learner
-
Menlo Park, CA, AAAI/MIT Press
-
W. W. Cohen and Y. Singer. A simple, fast, and effective rule learner. In Proceedings of the 16th National Conference on Artificial Intelligence (AAAI-99), pp. 335-342, Menlo Park, CA, 1999. AAAI/MIT Press.
-
(1999)
Proceedings of the 16th National Conference on Artificial Intelligence (AAAI-99)
, pp. 335-342
-
-
Cohen, W.W.1
Singer, Y.2
-
13
-
-
34249753618
-
Support-vector networks
-
C. Cortes and V. Vapnik. Support-vector networks. Machine Learning, 20(3):273-297, 1995.
-
(1995)
Machine Learning
, vol.20
, Issue.3
, pp. 273-297
-
-
Cortes, C.1
Vapnik, V.2
-
14
-
-
0031361611
-
Machine learning research: Four current directions
-
Winter
-
T. G. Dietterich. Machine learning research: Four current directions. AI Magazine, 18(4): 97-136, Winter 1997.
-
(1997)
AI Magazine
, vol.18
, Issue.4
, pp. 97-136
-
-
Dietterich, T.G.1
-
15
-
-
0000259511
-
Approximate statistical tests for comparing supervised classification learning algorithms
-
T. G. Dietterich. Approximate statistical tests for comparing supervised classification learning algorithms. Neural Computation, 10(7):1895-1924, 1998.
-
(1998)
Neural Computation
, vol.10
, Issue.7
, pp. 1895-1924
-
-
Dietterich, T.G.1
-
17
-
-
0034250160
-
An experimental comparison of three methods for constructing ensembles of decision trees: Bagging, boosting, and randomization
-
T. G. Dietterich. An experimental comparison of three methods for constructing ensembles of decision trees: Bagging, boosting, and randomization. Machine Learning, 40(2):139-158, 2000b.
-
(2000)
Machine Learning
, vol.40
, Issue.2
, pp. 139-158
-
-
Dietterich, T.G.1
-
20
-
-
0031211090
-
A decision-theoretic generalization of on-line learning and an application to boosting
-
Y. Freund and R. E. Schapire. A decision-theoretic generalization of on-line learning and an application to boosting. Journal of Computer and System Sciences, 55(1):119-139, 1997.
-
(1997)
Journal of Computer and System Sciences
, vol.55
, Issue.1
, pp. 119-139
-
-
Freund, Y.1
Schapire, R.E.2
-
21
-
-
0003440665
-
Another approach to polychotomous classification
-
Department of Statistics, Stanford University, Stanford, CA
-
J. H. Friedman. Another approach to polychotomous classification. Technical report, Department of Statistics, Stanford University, Stanford, CA, 1996.
-
(1996)
Technical Report
-
-
Friedman, J.H.1
-
22
-
-
0031139832
-
Pruning algorithms for rule learning
-
J. Fürnkranz. Pruning algorithms for rule learning. Machine Learning, 27(2):139-171, 1997.
-
(1997)
Machine Learning
, vol.27
, Issue.2
, pp. 139-171
-
-
Fürnkranz, J.1
-
23
-
-
84957693645
-
Exploiting structural information for text classification on the WWW
-
D. Hand, J. N. Kok, and M. Berthold (eds.), Amsterdam, Netherlands, Springer-Verlag
-
J. Fürnkranz. Exploiting structural information for text classification on the WWW. In D. Hand, J. N. Kok, and M. Berthold (eds.) Advances in Intelligent Data Analysis: Proceedings of the 3rd International Symposium (IDA-99), pp. 487-497, Amsterdam, Netherlands, 1999a. Springer-Verlag.
-
(1999)
Advances in Intelligent Data Analysis: Proceedings of the 3rd International Symposium (IDA-99)
, pp. 487-497
-
-
Fürnkranz, J.1
-
24
-
-
0033075882
-
Separate-and-conquer rule learning
-
J. Fürnkranz. Separate-and-conquer rule learning. Artificial Intelligence Review, 13(1): 3-54, 1999b.
-
(1999)
Artificial Intelligence Review
, vol.13
, Issue.1
, pp. 3-54
-
-
Fürnkranz, J.1
-
25
-
-
0347606558
-
Round robin rule learning
-
C. E. Brodley and A. P. Danyluk (eds.), Williamstown, MA, Morgan Kaufmann Publishers
-
J. Fürnkranz. Round robin rule learning. In C. E. Brodley and A. P. Danyluk (eds.) Proceedings of the 18th International Conference on Machine Learning (ICML-01), pp. 146-153, Williamstown, MA, 2001b. Morgan Kaufmann Publishers.
-
(2001)
Proceedings of the 18th International Conference on Machine Learning (ICML-01)
, pp. 146-153
-
-
Fürnkranz, J.1
-
26
-
-
0036895475
-
Hyperlink ensembles: A case study in hypertext classification
-
Special Issue on Fusion of Multiple Classifiers. To appear
-
J. Fürnkranz. Hyperlink ensembles: A case study in hypertext classification. Information Fusion. Special Issue on Fusion of Multiple Classifiers, 2002. To appear.
-
(2002)
Information Fusion
-
-
Fürnkranz, J.1
-
27
-
-
85152557036
-
Incremental Reduced Error Pruning
-
W. Cohen and II. Hirsh (eds.), New Brunswick, NJ, Morgan Kaufmann
-
J. Fürnkranz and G. Widmer. Incremental Reduced Error Pruning. In W. Cohen and II. Hirsh (eds.) Proceedings of the 11th International Conference on Machine Learning (ML-94), pp. 70-77, New Brunswick, NJ, 1994. Morgan Kaufmann.
-
(1994)
Proceedings of the 11th International Conference on Machine Learning (ML-94)
, pp. 70-77
-
-
Fürnkranz, J.1
Widmer, G.2
-
29
-
-
0036505670
-
A comparison of methods for multi-class support vector machines
-
To appear
-
C.-W. Hsu and C.-J. Lin. A comparison of methods for multi-class support vector machines. IEEE Transactions on Neural Networks, 2002. To appear.
-
(2002)
IEEE Transactions on Neural Networks
-
-
Hsu, C.-W.1
Lin, C.-J.2
-
30
-
-
0000153354
-
Noemon: Design, implementation and performance results of an intelligent assistant for classifier selection
-
A. Kalousis and T. Theoharis. Noemon: Design, implementation and performance results of an intelligent assistant for classifier selection. Intelligent Data Analysis, 3(5):319-337, 1999.
-
(1999)
Intelligent Data Analysis
, vol.3
, Issue.5
, pp. 319-337
-
-
Kalousis, A.1
Theoharis, T.2
-
31
-
-
0003250435
-
Single-layer learning revisited: A stepwise procedure for building and training a neural network
-
F. Fogelman Soulié and J. Hérault (eds.). Springer-Verlag
-
S. Knerr, L. Personnaz, and G. Dreyfus. Single-layer learning revisited: A stepwise procedure for building and training a neural network. In F. Fogelman Soulié and J. Hérault (eds.) Neurocomputing: Algorithms, Architectures and Applications, volume F68 of NATO ASI Series, pp. 41-50. Springer-Verlag, 1990.
-
(1990)
Neurocomputing: Algorithms, Architectures and Applications, Volume F68 of NATO ASI Series
, vol.F68
, pp. 41-50
-
-
Knerr, S.1
Personnaz, L.2
Dreyfus, G.3
-
32
-
-
0026955102
-
Handwritten digit recognition by neural networks with single-layer training
-
S. Knerr, L. Personnaz, and G. Dreyfus. Handwritten digit recognition by neural networks with single-layer training. IEEE Transactions on Neural Networks, 3(6):962-968, 1992.
-
(1992)
IEEE Transactions on Neural Networks
, vol.3
, Issue.6
, pp. 962-968
-
-
Knerr, S.1
Personnaz, L.2
Dreyfus, G.3
-
34
-
-
0002229304
-
Pairwise classification and support vector machines
-
B. Schölkopf, C. Burges, and A. Smola (eds.) chapter 15. MIT Press, Cambridge, MA
-
U. H.-G. Kreßel. Pairwise classification and support vector machines. In B. Schölkopf, C. Burges, and A. Smola (eds.) Advances in Kernel Methods: Support Vector Learning, chapter 15, pp. 255-268. MIT Press, Cambridge, MA, 1999.
-
(1999)
Advances in Kernel Methods: Support Vector Learning
, pp. 255-268
-
-
Kreßel, U.H.-G.1
-
35
-
-
0346345767
-
Boosting noisy data
-
C. E. Brodley and A. P. Danyluk (eds.). Williamstown, MA, Morgan Kaufmann Publishers
-
A. Krieger, A. J. Wyner, and C. Long. Boosting noisy data. In C. E. Brodley and A. P. Danyluk (eds.) Proceedings of the 18th International Conference on Machine Learning (ICML-2001), pp. 274-281. Williamstown, MA, 2001. Morgan Kaufmann Publishers.
-
(2001)
Proceedings of the 18th International Conference on Machine Learning (ICML-2001)
, pp. 274-281
-
-
Krieger, A.1
Wyner, A.J.2
Long, C.3
-
36
-
-
0032594843
-
Task decomposition and module combination based on class relations: A modular neural network for pattern classification
-
B.-L. Lu and M. Ito. Task decomposition and module combination based on class relations: A modular neural network for pattern classification. IEEE Transactions on Neural Networks, 10(5):1244-1256, 1999.
-
(1999)
IEEE Transactions on Neural Networks
, vol.10
, Issue.5
, pp. 1244-1256
-
-
Lu, B.-L.1
Ito, M.2
-
37
-
-
84958037158
-
Support vector machines for multi-class classification
-
J. Mira and J. V. Sánchez-Andrés (eds.), Alicante, Spain, Springer-Verlag
-
E. Mayoraz and E. Alpaydin. Support vector machines for multi-class classification. In J. Mira and J. V. Sánchez-Andrés (eds.) Engineering Applications of Bio-Inspired Artificial Neural Networks: Proceedings of the International Work-Conference on Artificial and Natural Neural Networks (IWANN-99), Volume II, pp. 833-842, Alicante, Spain, 1999. Springer-Verlag.
-
(1999)
Engineering Applications of Bio-Inspired Artificial Neural Networks: Proceedings of the International Work-Conference on Artificial and Natural Neural Networks (IWANN-99)
, vol.2
, pp. 833-842
-
-
Mayoraz, E.1
Alpaydin, E.2
-
38
-
-
0003012349
-
On the decomposition of polychotomies into dichotomies
-
D. H. Fisher (ed.), Nashville, TN, Morgan Kaufmann
-
E. Mayoraz and M. Moreira. On the decomposition of polychotomies into dichotomies. In D. H. Fisher (ed.) Proceedings of the 14th International Conference on Machine Learning (ICML-97), pp. 219-226, Nashville, TN, 1997. Morgan Kaufmann.
-
(1997)
Proceedings of the 14th International Conference on Machine Learning (ICML-97)
, pp. 219-226
-
-
Mayoraz, E.1
Moreira, M.2
-
39
-
-
0000596361
-
Note on the sampling error of the difference between correlated proportions or percentages
-
Q. McNemar. Note on the sampling error of the difference between correlated proportions or percentages. Psychometrika, 12:153-157, 1947.
-
(1947)
Psychometrika
, vol.12
, pp. 153-157
-
-
McNemar, Q.1
-
40
-
-
84957087567
-
Improved pairwise coupling classification with correcting classifiers
-
C. Nédellec and C. Rouveirol (eds.), Chemnitz, Germany, Springer-Verlag
-
M. Moreira and E. Mayoraz. Improved pairwise coupling classification with correcting classifiers. In C. Nédellec and C. Rouveirol (eds.) Proceedings of the 10th European Conference on Machine Learning (ECML-98), pp. 160-171, Chemnitz, Germany, 1998. Springer-Verlag.
-
(1998)
Proceedings of the 10th European Conference on Machine Learning (ECML-98)
, pp. 160-171
-
-
Moreira, M.1
Mayoraz, E.2
-
42
-
-
0347606556
-
Winning the KDD99 classification cup: Bagged boosting
-
B. Pfahringer. Winning the KDD99 classification cup: Bagged boosting. SIGKDD explorations, 1(2):65-66, 2000.
-
(2000)
SIGKDD Explorations
, vol.1
, Issue.2
, pp. 65-66
-
-
Pfahringer, B.1
-
43
-
-
84888364466
-
Large margin DAGs for multiclass classification
-
S. A. Solla, T. K. Leen, and K.-R. Müller (eds.). MIT Press
-
J. C. Platt, N. Cristianini, and J. Shawe-Taylor. Large margin DAGs for multiclass classification. In S. A. Solla, T. K. Leen, and K.-R. Müller (eds.) Advances in Neural Information Processing Systems 12 (NIPS-99), pp. 547-553. MIT Press, 2000.
-
(2000)
Advances in Neural Information Processing Systems 12 (NIPS-99)
, pp. 547-553
-
-
Platt, J.C.1
Cristianini, N.2
Shawe-Taylor, J.3
-
44
-
-
85153946716
-
Pairwise neural network classifiers with probabilistic outputs
-
G. Tesauro, D. Touretzky, and T. Leen (eds.). MIT Press
-
D. Price, S. Knerr, L. Personnaz, and G. Dreyfus. Pairwise neural network classifiers with probabilistic outputs. In G. Tesauro, D. Touretzky, and T. Leen (eds.) Advances in Neural Information Processing Systems 7 (NIPS-94), PP- 1109-1116. MIT Press, 1995.
-
(1995)
Advances in Neural Information Processing Systems 7 (NIPS-94)
, pp. 1109-1116
-
-
Price, D.1
Knerr, S.2
Personnaz, L.3
Dreyfus, G.4
-
48
-
-
1442267080
-
Learning decision lists
-
R. L. Rivest. Learning decision lists. Machine Learning, 2:229-246, 1987.
-
(1987)
Machine Learning
, vol.2
, pp. 229-246
-
-
Rivest, R.L.1
-
50
-
-
0033281701
-
Improved boosting algorithms using confidence-rated predictions
-
R. E. Schapire and Y. Singer. Improved boosting algorithms using confidence-rated predictions. Machine Learning, 37(3):297-336, 1999.
-
(1999)
Machine Learning
, vol.37
, Issue.3
, pp. 297-336
-
-
Schapire, R.E.1
Singer, Y.2
-
52
-
-
0029748333
-
Speaker identification via support vector classifiers
-
Atlanta, GA
-
M. S. Schmidt and H. Gish. Speaker identification via support vector classifiers. In Proceedings of the 21st IEEE International Conference Conference on Acoustics, Speech, and Signal Processing (ICASSP-96), pp. 105-108, Atlanta, GA, 1996.
-
(1996)
Proceedings of the 21st IEEE International Conference Conference on Acoustics, Speech, and Signal Processing (ICASSP-96)
, pp. 105-108
-
-
Schmidt, M.S.1
Gish, H.2
-
53
-
-
0007993990
-
Connectionist learning of expert preferences by comparison training
-
D. Touretzky (ed.). Morgan Kaufmann
-
G. Tesauro. Connectionist learning of expert preferences by comparison training. In D. Touretzky (ed.) Advances in Neural Information Processing Systems 1 (NIPS-88), pp. 99-106. Morgan Kaufmann, 1989.
-
(1989)
Advances in Neural Information Processing Systems 1 (NIPS-88)
, pp. 99-106
-
-
Tesauro, G.1
|