𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Forecasting of stock returns by using manifold wavelet support vector machine

✍ Scribed by Ling-bing Tang; Huan-ye Sheng; Ling-xiao Tang


Book ID
107623863
Publisher
Chinese Electronic Periodical Services
Year
2010
Tongue
English
Weight
427 KB
Volume
15
Category
Article
ISSN
1007-1172

No coin nor oath required. For personal study only.


πŸ“œ SIMILAR VOLUMES


Fuzzy support vector machine for classif
✍ Qi Xu; Hui Zhou; Yongji Wang; Jian Huang πŸ“‚ Article πŸ“… 2009 πŸ› Elsevier Science 🌐 English βš– 815 KB

Translation of electroencephalographic (EEG) recordings into control signals for brain-computer interface (BCI) systems needs to be based on a robust classification of the various types of information. EEG-based BCI features are often noisy and likely to contain outliers. This contribution describes

Using support vector machines for predic
✍ Jian-Ding Qiu; San-Hua Luo; Jian-Hua Huang; Ru-Ping Liang πŸ“‚ Article πŸ“… 2009 πŸ› John Wiley and Sons 🌐 English βš– 211 KB

## Abstract The prediction of secondary structure is a fundamental and important component in the analytical study of protein structure and functions. How to improve the predictive accuracy of protein structural classification by effectively incorporating the sequence‐order effects is an important

The use of hybrid manifold learning and
✍ Fengyi Lin; Ching-Chiang Yeh; Meng-Yuan Lee πŸ“‚ Article πŸ“… 2011 πŸ› Elsevier Science 🌐 English βš– 348 KB

The prediction of business failure is an important and challenging issue that has served as the impetus for many academic studies over the past three decades. This paper proposes a hybrid manifold learning approach model which combines both isometric feature mapping (ISOMAP) algorithm and support ve