-
1
-
-
10444221886
-
Diversity creation methods: A survey and categorization
-
G. Brown, J.Wyatt, R. Harris, X.Yao, Diversity creation methods: a survey and categorization. Information Fusion, 6, 5-20, 2005.
-
(2005)
Information Fusion
, vol.6
, pp. 5-20
-
-
Brown, G.1
Wyatt, J.2
Harris, R.3
Yao, X.4
-
2
-
-
0030211964
-
Bagging predictors
-
L. Breiman, Bagging predictors. Machine Learning, 24, 123-140, 1996.
-
(1996)
Machine Learning
, vol.24
, pp. 123-140
-
-
Breiman, L.1
-
3
-
-
0032280519
-
Boosting the margin: A new explanation for the effectiveness of voting methods
-
R. Schapire, Y.Freund, P. Bartlett, W. Lee, Boosting the margin: A new explanation for the effectiveness of voting methods. The Annals of Statistics, 26, 1651-1686, 1998.
-
(1998)
The Annals of Statistics
, vol.26
, pp. 1651-1686
-
-
Schapire, R.1
Freund, Y.2
Bartlett, P.3
Lee, W.4
-
4
-
-
26444613298
-
Dynamics of variance reduction in bagging and other techniques based on randomisation
-
G. Fumera, R.Roli, A. Serrau, Dynamics of Variance Reduction in Bagging and Other Techniques Based on Randomisation. Multiple Classifier Systems, pp. 316-325, 2005.
-
(2005)
Multiple Classifier Systems
, pp. 316-325
-
-
Fumera, G.1
Roli, R.2
Serrau, A.3
-
5
-
-
84958774749
-
Support vector machine ensemble with bagging
-
H. Kim, S. Pang, H. Je, D. Kim, S. Bang, Support Vector Machine Ensemble with Bagging. SVM, pp. 397-407, 2002.
-
(2002)
SVM
, pp. 397-407
-
-
Kim, H.1
Pang, S.2
Je, H.3
Kim, D.4
Bang, S.5
-
6
-
-
33745924958
-
Support vector machines ensemble based on fuzzy integral for classification
-
G. Yan, G. Ma, L. Zhu, Support vector machines ensemble based on fuzzy integral for classification, in: ISNN, pp. 974-980, 2006.
-
(2006)
ISNN
, pp. 974-980
-
-
Yan, G.1
Ma, G.2
Zhu, L.3
-
7
-
-
33746424489
-
Asymmetric bagging and random subspace for support vector machines-based relevance feedback in image retrieval
-
D. Tao, X. Tang, X. Li, X. Wu, Asymmetric bagging and random subspace for support vector machines-based relevance feedback in image retrieval. IEEE Transactions on Pattern Analysis and Machine Intelligence, 28, 1088- 1099, 2006.
-
(2006)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.28
, pp. 1088-1099
-
-
Tao, D.1
Tang, X.2
Li, X.3
Wu, X.4
-
8
-
-
33947696720
-
Majority vote and decision template based ensemble classifiers trained on event related potentials for early diagnosis of alzheimer's disease
-
N. Stepenosky, D. Green, J. Kounios, C. Clark, R. Polikar, Majority vote and decision template based ensemble classifiers trained on event related potentials for early diagnosis of Alzheimer's disease, IIEEE International Conference. Acoustic, Speech and Signal Proceedings, pp. 901-904, 2006.
-
(2006)
IIEEE International Conference. Acoustic, Speech and Signal Proceedings
, pp. 901-904
-
-
Stepenosky, N.1
Green, D.2
Kounios, J.3
Clark, C.4
Polikar, R.5
-
10
-
-
56349085999
-
Google's mapreduce programming model -revisited
-
R. Lämmel, Google's MapReduce programming model -revisited, Science of Computer Programming, 70, 1-30, 2008.
-
(2008)
Science of Computer Programming
, vol.70
, pp. 1-30
-
-
Lämmel, R.1
-
11
-
-
0033870982
-
Improved generalization through explicit optimization of margins
-
L. Mason, P. Bartlett, J. Baxter, Improved Generalization through Explicit Optimization of Margins. Machine Learning, 38, 243-255, 2000.
-
(2000)
Machine Learning
, vol.38
, pp. 243-255
-
-
Mason, L.1
Bartlett, P.2
Baxter, J.3
-
12
-
-
1942452226
-
Low bias bagged support vector machines
-
G. Valentini, T. Dietterich, Low Bias Bagged Support Vector Machines, in: ICML, pp. 752-759, 2003.
-
(2003)
ICML
, pp. 752-759
-
-
Valentini, G.1
Dietterich, T.2
-
13
-
-
58349112027
-
Ensemble of support vector machine for text-independent speaker recognition
-
Z. Lei, Y. Yang, Z. Wu, Ensemble of Support Vector Machine for Text-Independent Speaker Recognition, International Journal Computer Science and Network Security, 6, 163-167, 2006.
-
(2006)
International Journal Computer Science and Network Security
, vol.6
, pp. 163-167
-
-
Lei, Z.1
Yang, Y.2
Wu, Z.3
-
14
-
-
60649093075
-
Highly scalable svm modeling with random granulation for spam sender detection
-
Y. Tang, Y. He, , S. Krasser, Highly Scalable SVM Modeling with Random Granulation for Spam Sender Detection, in: ICMLA, pp. 659-664, 2008.
-
(2008)
ICMLA
, pp. 659-664
-
-
Tang, Y.1
He, Y.2
Krasser, S.3
-
15
-
-
0003619255
-
-
Technical Report TR 460, Statistics Department, University of California, Berkeley, CA
-
L. Breiman, Bias, variance and arcing classifiers, Technical Report TR 460, Statistics Department, University of California, Berkeley, CA 1996.
-
(1996)
Bias, Variance and Arcing Classifiers
-
-
Breiman, L.1
-
16
-
-
84872900477
-
-
[Online], (Last accessed: 3 April 2011)
-
Weka 3, [Online]: http://www.cs.waikato.ac.nz/ml/weka/ (Last accessed: 3 April 2011).
-
Weka 3
-
-
|