Search Results - subject:"Support Vector Machine"

Bayesian nonlinear regression for large p small n problems

Chakraborty, Sounak; Ghosh, Malay; Mallick, Bani K. - In: Journal of Multivariate Analysis 108 (2012) C, pp. 28-40

probabilistic description of support vector machine (SVM) rather than an algorithm for fitting purposes. We have also introduced a …

Persistent link: https://www.econbiz.de/10011042034

A hierarchical multiple kernel support vector machine for customer churn prediction using longitudinal behavioral data

Chen, Zhen-Yu; Fan, Zhi-Ping; Sun, Minghe - In: European Journal of Operational Research 223 (2012) 2, pp. 461-472

support vector machine (H-MK-SVM) is formulated. A three phase training algorithm for the H-MK-SVM is developed, implemented …

Persistent link: https://www.econbiz.de/10010871286

Periodic performance prediction for real‐time business process monitoring

Kang, Bokyoung; Kim, Dongsoo; Kang, Suk‐Ho - In: Industrial Management & Data Systems 112 (2012) 1, pp. 4-23

of ongoing process and Support Vector Machine classifies the performances of them. These procedures are periodically …

Persistent link: https://www.econbiz.de/10014824361

Support vector machines and learning about time

Rüping, Stefan; Morik, Katharina - 2003

The analysis of temporal data is an important issue of current research, because most real-world data either explicitly or implicitly contains some information about time. The key to successfully solving temporal learning tasks is to analyze the assumptions that can be made and prior knowledge...

Persistent link: https://www.econbiz.de/10010477500