Search Results - subject:"Support Vector Machine"

On strategies for imbalanced text classification using SVM : a comparative study

Sun, Aixin; Lim, Ee-peng; Liu, Ying - In: Decision support systems : DSS ; the international journal 48 (2009/10) 1, pp. 191-201

Persistent link: https://www.econbiz.de/10003913688

Support vector machine learning with an evolutionary engine

Stoean, R.; Preuss, M.; Stoean, C.; El-Darzi, E.; … - In: Journal of the Operational Research Society : OR 60 (2009) 8, pp. 1116-1122

Persistent link: https://www.econbiz.de/10003882064

Variable selection and oversampling in the use of smooth support vector machines for predicting the default risk of companies

Härdle, Wolfgang; Lee, Yuh-Jye; Schäfer, Dorothea; … - In: Journal of forecasting 28 (2009) 6, pp. 512-534

Persistent link: https://www.econbiz.de/10003886993

Forecasting and hedging in the foreign exchange markets

Ullrich, Christian - 2009

Persistent link: https://www.econbiz.de/10003826244

Emerging frameworks in user-focused identity management

Gupta, Manish; Sharman, Raj - In: Handbook of research on enterprise systems, (pp. 362-377). 2009

Persistent link: https://www.econbiz.de/10003849190

Modeling wine preferences by data mining from physicochemical properties

Cortez, Paulo; Cerdeira, António; Almeida, Fernando; … - In: Decision support systems : DSS ; the international journal 47 (2009) 4, pp. 547-553

Persistent link: https://www.econbiz.de/10003901706

Atmospheric environment impact assessment of thermal power plant

Niu, Dongxiao; Wang, Weijun; Wu, Desheng - In: International Journal of Global Energy Issues 32 (2009) 4, pp. 361-371

to support administrators on decision making. In this paper, a new assessment model through combining the support vector … machine and the BP networks based on particle swarm optimisation is presented. This model makes more accurate evaluation by …

Persistent link: https://www.econbiz.de/10008755327

Predicting credit card customer churn in banks using data mining

Kumar, Dudyala Anil; Ravi, V. - In: International Journal of Data Analysis Techniques and … 1 (2008) 1, pp. 4-28

Forest (RF), Radial Basis Function (RBF) network and Support Vector Machine (SVM) as the constituents. The dataset was taken …

Persistent link: https://www.econbiz.de/10005753847

A PRUNING APPROACH TO PATTERN DISCOVERY

WANG, HSIAO-FAN; CHAN, ZU-WEN - In: International Journal of Information Technology & … 07 (2008) 04, pp. 721-736

functions as an example to demonstrate the proposed procedure. Based on the concept of Support Vector Machine (SVM), three major …

Persistent link: https://www.econbiz.de/10004971671

On Stein's lemma, dependent covariates and functional monotonicity in multi-dimensional modeling

Zhang, Chunming; Li, Jialiang; Meng, Jingci - In: Journal of Multivariate Analysis 99 (2008) 10, pp. 2285-2303

Tracking the correct directions of monotonicity in multi-dimensional modeling plays an important role in interpreting functional associations. In the presence of multiple predictors, we provide empirical evidence that the observed monotone directions via parametric, nonparametric or...

Persistent link: https://www.econbiz.de/10005006535