-
2
-
-
0036825901
-
Modified support vector machines in financial time series forecasting
-
â€" 861
-
Tay FEH, Cao LJ. Modified support vector machines in financial time series forecasting. Neurocomputing, 48, 847 â€″ 861, 2002.
-
(2002)
Neurocomputing
, vol.48
, pp. 847
-
-
Tay, F.E.H.1
Cao, L.J.2
-
3
-
-
77953719971
-
Electric load forecasting based on doubly weighted support vector regression
-
Elattar EE, Goulermas J, Wu QH. Electric load forecasting based on doubly weighted support vector regression. IEEE Transactions On Systems, Man, and Cybernetics PART C: Applications And Reviews, VOL. 40, NO. 4, 2010.
-
(2010)
IEEE Transactions on Systems, Man, and Cybernetics PART C: Applications and Reviews
, vol.40
, Issue.4
-
-
Elattar, E.E.1
Goulermas, J.2
Wu, Q.H.3
-
5
-
-
84862688046
-
A weighted multi-output support vector regression and its application
-
Xu Y, Lv X, Xi W. A weighted multi-output support vector regression and its application. Journal of Computational Information Systems 2012; 8(9):3807-3814.
-
(2012)
Journal of Computational Information Systems
, vol.8
, Issue.9
, pp. 3807-3814
-
-
Xu, Y.1
Lv, X.2
Xi, W.3
-
6
-
-
84863145889
-
Efficient support vector regression with weighted constraints
-
LNEE
-
Wang L, Fu D. Efficient support vector regression with weighted constraints. Informatics in Control, Automation and Robotics, Volume 2, LNEE 133, pp. 607 615, 2011.
-
(2011)
Informatics in Control, Automation and Robotics
, vol.2
, Issue.133
, pp. 607615
-
-
Wang, L.1
Fu, D.2
-
7
-
-
54149100185
-
Weighted support vector regression algorithm based on data description
-
Huang W, Shen L. Weighted support vector regression algorithm based on data description. 2008 ISECS International Colloquium on Computing, Communication, Control, and Management, 2008.
-
(2008)
2008 ISECS International Colloquium on Computing, Communication, Control, and Management
-
-
Huang, W.1
Shen, L.2
-
8
-
-
70449890990
-
An effective method for weighted support vector regression based on sample simplification
-
Tang M, Zhang H. An effective method for weighted support vector regression based on sample simplification. 2009 ISECS International Colloquium on Computing, Communication, Control, and Management, 2009.
-
(2009)
2009 ISECS International Colloquium on Computing, Communication, Control, and Management
-
-
Tang, M.1
Zhang, H.2
-
9
-
-
53049094791
-
A new weighted support vector machine for regression and its parameters optimization
-
Mei L, Zhang S. A new weighted support vector machine for regression and its parameters optimization. Advanced Intelligent Computing Theories and Applications 2008; 5227:597-604.
-
(2008)
Advanced Intelligent Computing Theories and Applications
, vol.5227
, pp. 597-604
-
-
Mei, L.1
Zhang, S.2
-
10
-
-
84866725104
-
Decremental learning based on sample-weighted support vector regression
-
Qing L, Ling W, Zheng Z, Cun Z, Decremental learning based on sample-weighted support vector regression. 2012 24th Control and Decision Conference, 1322-1325, 2012.
-
(2012)
2012 24th Control and Decision Conference
, pp. 1322-1325
-
-
Qing, L.1
Ling, W.2
Zheng, Z.3
Cun, Z.4
-
11
-
-
84861589024
-
A weighted twin support vector regression
-
â€″ 101
-
Xu Y, Wang L. A weighted twin support vector regression. Knowledge-Based Systems 33, 92 â€″ 101, 2012.
-
(2012)
Knowledge-Based Systems
, vol.33
, pp. 92
-
-
Xu, Y.1
Wang, L.2
-
14
-
-
0001791734
-
Prices and implicit markets: Product differentiation in pure competition
-
Rosen S. Prices and implicit markets: product differentiation in pure competition. Journal of Political Economy 1974; 82(1):34-55.
-
(1974)
Journal of Political Economy
, vol.82
, Issue.1
, pp. 34-55
-
-
Rosen, S.1
-
15
-
-
84965495269
-
Some thoughts on the nature and purpose of hedonic price functions
-
Maclennan D. Some thoughts on the nature and purpose of hedonic price functions. Urban Studies 1977; 14:59-71.
-
(1977)
Urban Studies
, vol.14
, pp. 59-71
-
-
Maclennan, D.1
-
16
-
-
84862783733
-
-
â€" 8379
-
Ahn JJ, Byun HW, Oh KJ, Kim TY. Using ridge regression with genetic algorithm to enhance real estate appraisal forecasting, Expert Systems with Applications, Volume 39, 8369 â€" 8379, 2012.
-
(2012)
Using Ridge Regression with Genetic Algorithm to Enhance Real Estate Appraisal Forecasting, Expert Systems with Applications
, vol.39
, pp. 8369
-
-
Ahn, J.J.1
Byun, H.W.2
Oh, K.J.3
Kim, T.Y.4
-
17
-
-
84864519896
-
Variable selection for hedonic model using machine learning approaches: A case study in Onondaga County, NY
-
Yoo S, Im J, Wagner JE. Variable selection for hedonic model using machine learning approaches: a case study in Onondaga County, NY. Landscape and Urban Planning 2012; 107:293-306.
-
(2012)
Landscape and Urban Planning
, vol.107
, pp. 293-306
-
-
Yoo, S.1
Im, J.2
Wagner, J.E.3
-
19
-
-
85041068561
-
House price prediction: Hedonic price model vs. Artificial neural network
-
Limsombunchai V. House price prediction: hedonic price model vs. artificial neural network. 2004 NZARES Conference.
-
2004 NZARES Conference
-
-
Limsombunchai, V.1
-
20
-
-
0001500115
-
Functions of positive and negative type and their connection with the theory of integral equations
-
Mercer J. Functions of positive and negative type and their connection with the theory of integral equations. Philosophical Transactions of the Royal Society, London, A 1909; 209:415-446.
-
(1909)
Philosophical Transactions of the Royal Society, London, A
, vol.209
, pp. 415-446
-
-
Mercer, J.1
-
21
-
-
70350708082
-
A SVR based forecasting approach for real estate price prediction
-
Li D, Xu W, Zhao H, Chen R. A SVR based forecasting approach for real estate price prediction, Proceedings of the Eighth International Conference on Machine Learning and Cybernetics, 970-974, 2009.
-
(2009)
Proceedings of the Eighth International Conference on Machine Learning and Cybernetics
, pp. 970-974
-
-
Li, D.1
Xu, W.2
Zhao, H.3
Chen, R.4
-
26
-
-
0346451740
-
The kernel trick for distances
-
Scholkopf B. The kernel trick for distances. in NIPS, 2000, pp. 301-307.
-
(2000)
NIPS
, pp. 301-307
-
-
Scholkopf, B.1
|