-
1
-
-
78649510538
-
-
Revenue Forecasting Accuracy in Ohio Local Governments
-
J. Beckett-Camarata, Revenue Forecasting Accuracy in Ohio Local Governments, Journal of Public Budgeting, Accounting & Financial Management, Vol.18, No.1, 2006, pp.77-99.
-
(2006)
Journal of Public Budgeting, Accounting & Financial Management
, vol.18
, Issue.1
, pp. 77-99
-
-
Beckett-Camarata, J.1
-
2
-
-
85045006873
-
-
Assessing Local Government Revenue Forecasting Techniques
-
Ch.G. Reddick, Assessing Local Government Revenue Forecasting Techniques, International Journal of Public Administration, Vol.27, No.8-9, 2004, pp.597-613.
-
(2004)
International Journal of Public Administration
, vol.27
, Issue.8-9
, pp. 597-613
-
-
Reddick, C.G.1
-
3
-
-
78649502159
-
-
th Ed., R.J. Aronson, E. Schwartz, (Eds.), ICMA, Washington, D.C.
-
th Ed., R.J. Aronson, E. Schwartz, (Eds.), ICMA, Washington, D.C., 1996.
-
(1996)
Management Policies in Local Government Finance
-
-
Schroeder, L.1
-
5
-
-
46449133299
-
Air quality modelling by kohonen's self-organizing feature maps and LVQ neural networks
-
P. Hájek, V. Olej, Air Quality Modelling by Kohonen's Self-organizing Feature Maps and LVQ Neural Networks, WSEAS Transactions on Environment and Development, Vol.4, No.1, 2008, pp.45-55.
-
(2008)
WSEAS Transactions on Environment and Development
, vol.4
, Issue.1
, pp. 45-55
-
-
Hájek, P.1
Olej, V.2
-
6
-
-
48749101538
-
Comparison Studies on classification for remote sensing image based on data mining method
-
H. Xiao, X. Zhang, Comparison Studies on Classification for Remote Sensing Image Based on Data Mining Method. WSEAS Transactions on Computers, Vol.7, No.5, 2008, pp.552-558.
-
(2008)
WSEAS Transactions on Computers
, vol.7
, Issue.5
, pp. 552-558
-
-
Xiao, H.1
Zhang, X.2
-
7
-
-
59249095002
-
Image texture classification using gray level co-occurrence matrix and neural network
-
S. M. H. Hitam, M.Y. Muslan, M.M. Deris, M.Y. Saman, Image Texture Classification using Gray Level Co-Occurrence Matrix and Neural Network. WSEAS Transactions on Computers, Vol.3, No.4, 2004, pp.1151-1156.
-
(2004)
WSEAS Transactions on Computers
, vol.3
, Issue.4
, pp. 1151-1156
-
-
Hitam, S.M.H.1
Muslan, M.Y.2
Deris, M.M.3
Saman, M.Y.4
-
8
-
-
48749093170
-
Neural network approach for estimating reference evapotranspiration from limited climatic data in burkina faso
-
Y.M. Wang, S. Traore, T. Kerh, Neural Network Approach for Estimating Reference Evapotranspiration from Limited Climatic Data in Burkina Faso, WSEAS Transactions on Computers, Vol.6, No.7, 2008, pp.704-713.
-
(2008)
WSEAS Transactions on Computers
, vol.6
, Issue.7
, pp. 704-713
-
-
Wang, Y.M.1
Traore, S.2
Kerh, T.3
-
9
-
-
48749129917
-
Monitoring event-based suspended sediment concentration by artificial neural network models
-
Y.M. Wang, S. Traore, T. Kerh, Monitoring Event-Based Suspended Sediment Concentration by Artificial Neural Network Models, WSEAS Transactions on Computers, Vol.5, No.7, 2008, pp.359-368.
-
(2008)
WSEAS Transactions on Computers
, vol.5
, Issue.7
, pp. 359-368
-
-
Wang, Y.M.1
Traore, S.2
Kerh, T.3
-
14
-
-
0025507176
-
Neural network ensembles
-
L.K. Hansen, P. Salamon, Neural Network Ensembles, IEEE Transactionson Pattern Analysis and Machine Intelligence, Vol.12, No.10, 1990, pp.993-1001.
-
(1990)
IEEE Transactionson Pattern Analysis and Machine Intelligence
, vol.12
, Issue.10
, pp. 993-1001
-
-
Hansen, L.K.1
Salamon, P.2
-
15
-
-
0142025124
-
Constructing support vector machine ensemble
-
H.Ch. Kim, S. Pang, H.M. Je, D. Kim, S.Y. Bang, Constructing Support Vector Machine Ensemble, Pattern Recognition, Vol.36, 2003, pp.2757-2767.
-
(2003)
Pattern Recognition
, vol.36
, pp. 2757-2767
-
-
Kim, H.C.1
Pang, S.2
Je, H.M.3
Kim, D.4
Bang, S.Y.5
-
16
-
-
0036567392
-
Ensembling neural networks: Many could be better than all
-
Z.H. Zhou, J. Wu, W. Tang, Ensembling Neural Networks: Many Could Be Better Than All, Artificial Intelligence, Vol.137, No.1-2, 2002, pp.239-263.
-
(2002)
Artificial Intelligence
, vol.137
, Issue.1-2
, pp. 239-263
-
-
Zhou, Z.H.1
Wu, J.2
Tang, W.3
-
17
-
-
0037337904
-
Clustering ensembles of neural network models
-
B. Bakker, T. Heskes, Clustering Ensembles of Neural Network Models, Neural Networks, Vol.16, No.2, 2003, pp.261-269.
-
(2003)
Neural Networks
, vol.16
, Issue.2
, pp. 261-269
-
-
Bakker, B.1
Heskes, T.2
-
19
-
-
0030211964
-
Bagging predictors
-
L. Breiman, Bagging Predictors, Machine Learning, Vol.24, No.2, 1996, pp.123-140.
-
(1996)
Machine Learning
, vol.24
, Issue.2
, pp. 123-140
-
-
Breiman, L.1
-
22
-
-
0037186544
-
Stochastic gradient boosting
-
J.H. Friedman, Stochastic Gradient Boosting, Computational Statistical Data Analysis, Vol.38, No.4, 2002, pp.367-378.
-
(2002)
Computational Statistical Data Analysis
, vol.38
, Issue.4
, pp. 367-378
-
-
Friedman, J.H.1
-
23
-
-
33750095186
-
Rotation forest: A new classifier ensemble method
-
J.J. Rodriguez, L.I. Kuncheva, C.J. Alonso, Rotation Forest: A New Classifier Ensemble Method, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol.28, No.10, 2006, pp.1619-1630.
-
(2006)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.28
, Issue.10
, pp. 1619-1630
-
-
Rodriguez, J.J.1
Kuncheva, L.I.2
Alonso, C.J.3
-
24
-
-
0029728458
-
Face recognition using hybrid classifier systems
-
Washington, IEEE Computer Society Press, Los Alamitos, CA
-
S. Gutta, H. Wechsler, Face Recognition using Hybrid Classifier Systems, Proceedings of ICNN96, Washington, IEEE Computer Society Press, Los Alamitos, CA, 1996, pp.1017-1022.
-
(1996)
Proceedings of ICNN96
, pp. 1017-1022
-
-
Gutta, S.1
Wechsler, H.2
-
25
-
-
84905371122
-
Pose invariant face recognition
-
Grenoble, France, IEEE Computer Society Press, Los Alamitos, CA
-
F.J. Huang, Z.H. Zhou, H.J. Zhang, T.H. Chen, Pose Invariant Face Recognition, Proceedings of 4th IEEE International Conference on Automatic Face and Gesture Recognition, Grenoble, France, IEEE Computer Society Press, Los Alamitos, CA, 2000, pp.245-250.
-
(2000)
Proceedings of 4th IEEE International Conference on Automatic Face and Gesture Recognition
, pp. 245-250
-
-
Huang, F.J.1
Zhou, Z.H.2
Zhang, H.J.3
Chen, T.H.4
-
26
-
-
0036146402
-
Lung cancer cell identification based on artificial neural network ensembles
-
Z.H. Zhou, Y. Jiang, Y.B. Yang, S.F. Chen, Lung Cancer Cell Identification based on Artificial Neural Network Ensembles, Artificial Intelligence in Medicine, Vol.24, No.1, 2002, pp.25-36.
-
(2002)
Artificial Intelligence in Medicine
, vol.24
, Issue.1
, pp. 25-36
-
-
Zhou, Z.H.1
Jiang, Y.2
Yang, Y.B.3
Chen, S.F.4
-
27
-
-
0037332504
-
Medical diagnosis with C4.5 rule preceded by artificial neural network ensemble
-
Z.H. Zhou, Y. Jiang, Medical Diagnosis with C4.5 Rule Preceded by Artificial Neural Network Ensemble, IEEE Transactions on Information Technology in Biomedicine, Vol.7, No.1, 2003, pp.37-42.
-
(2003)
IEEE Transactions on Information Technology in Biomedicine
, vol.7
, Issue.1
, pp. 37-42
-
-
Zhou, Z.H.1
Jiang, Y.2
-
28
-
-
0034333684
-
Stability problems with artificial neural networks and the ensemble solution
-
P. Cunningham, J. Carney, S. Jacob, Stability Problems with Artificial Neural Networks and the Ensemble Solution, Artificial Intelligence in Medicine, Vol.20, No.3, 2000, pp.217-225.
-
(2000)
Artificial Intelligence in Medicine
, vol.20
, Issue.3
, pp. 217-225
-
-
Cunningham, P.1
Carney, J.2
Jacob, S.3
-
29
-
-
34247154511
-
Cancer classification using ensemble of neural networks with multiple significant gene subsets
-
S.B. Cho, H.H. Won, Cancer Classification using Ensemble of Neural Networks with Multiple Significant Gene Subsets, Applied Intelligence, Vol.26, 2007, pp.243-250.
-
(2007)
Applied Intelligence
, vol.26
, pp. 243-250
-
-
Cho, S.B.1
Won, H.H.2
-
30
-
-
65549126269
-
Abnormal BGP routing dynamics detection by active learning using bagging on neural networks
-
Q. Wu, Q. Feng, Abnormal BGP Routing Dynamics Detection by Active Learning Using Bagging on Neural Networks, Studies in Computational Intelligence, Vol.208, 2009, pp.61-72.
-
(2009)
Studies in Computational Intelligence
, vol.208
, pp. 61-72
-
-
Wu, Q.1
Feng, Q.2
-
31
-
-
77749301262
-
Gene expression data classification using artificial neural network ensembles based on samples filtering
-
Los Alamitos
-
W. Chen, H. Lu, M. Wang, Ch. Fang, Gene Expression Data Classification using Artificial Neural Network Ensembles Based on Samples Filtering, International Conference on Artificial Intelligence and Computational Intelligence, Los Alamitos, 2009, pp.626-628.
-
(2009)
International Conference on Artificial Intelligence and Computational Intelligence
, pp. 626-628
-
-
Chen, W.1
Lu, H.2
Wang, M.3
Fang, C.4
-
32
-
-
21044454599
-
Cooperative coevolution of artificial neural network ensembles for pattern classification
-
N. García-Pedrajas, C. Hervá-Martínez, D. Ortiz- Bo, Cooperative Coevolution of Artificial Neural Network Ensembles for Pattern Classification. IEEE Transactions on Evolutionary Computation, Vol.9, No.3, 2005, pp.271-302.
-
(2005)
IEEE Transactions on Evolutionary Computation
, vol.9
, Issue.3
, pp. 271-302
-
-
García-Pedrajas, N.1
Hervá-Martínez, C.2
Ortiz-Bo, D.3
-
33
-
-
85054435084
-
Neural network ensembles, cross validation, active learning
-
A. Krogh, J. Vedelsby, Neural Network Ensembles, Cross Validation, and Active Learning, Advances in Neural Information Processing, Vol.7, 1995, pp.231-238.
-
(1995)
Advances in Neural Information Processing
, vol.7
, pp. 231-238
-
-
Krogh, A.1
Vedelsby, J.2
-
34
-
-
14544297375
-
Neural network ensembles: Evaluation of aggregation algorithms
-
P.M. Granitto, P.F. Verdes, H.A. Ceccatto, Neural Network Ensembles: Evaluation of Aggregation Algorithms, Artificial Intelligence, Vol.163, No.2, 2005, pp.139-162.
-
(2005)
Artificial Intelligence
, vol.163
, Issue.2
, pp. 139-162
-
-
Granitto, P.M.1
Verdes, P.F.2
Ceccatto, H.A.3
-
35
-
-
33750503791
-
Fault diagnosis of rotating machinery based on improved wavelet package transform and SVMs ensemble
-
Q. Hu, Z. He, Z. Zhang, Y. Zi, Fault Diagnosis of Rotating Machinery Based on Improved Wavelet Package Transform and SVMs Ensemble, Mechanical Systems and Signal Processing, Vol.21, No.2, 2007, pp.688-705.
-
(2007)
Mechanical Systems and Signal Processing
, vol.21
, Issue.2
, pp. 688-705
-
-
Hu, Q.1
He, Z.2
Zhang, Z.3
Zi, Y.4
-
36
-
-
33750593995
-
EUS SVMs: Ensemble of under- Sampled SVMs for data imbalance problems
-
Part 1, Springer-Verlag, Heidelberg
-
P. Kang, S. Cho, EUS SVMs: Ensemble of Under- Sampled SVMs for Data Imbalance Problems, ICONIP 2006, Lecture Notes in Computer Science 4233, Part 1, Springer-Verlag, Heidelberg, 2006, pp.837-846.
-
(2006)
ICONIP 2006, Lecture Notes in Computer Science 4233
, pp. 837-846
-
-
Kang, P.1
Cho, S.2
-
37
-
-
33745937896
-
A study of adaboost with SVM based weak learners
-
Montreal, Canada
-
X. Li, L. Wang, E. Sung, A Study of AdaBoost with SVM Based Weak Learners, Proceedings of International Joint Conference on Neural Networks, Montreal, Canada, 2005, pp.196-201.
-
(2005)
Proceedings of International Joint Conference on Neural Networks
, pp. 196-201
-
-
Li, X.1
Wang, L.2
Sung, E.3
|