Incorporating support vector machines with multiple criteria decision making for financial crisis analysis

Fuzzy criteria for feature selection

(2011) Susana M. Vieira et al.   FUZZY SETS AND SYSTEMS

A novel SVM+NDA model for classification with an application to face recognition

(2011) N.M. Khan et al.   PATTERN RECOGNITION

IPO mechanism selection by using Classification and Regression Trees

(2011) Guray Kucukkocaoglu et al.   QUALITY & QUANTITY

Present and future: a trend forecasting and ranking of university types for innovative development from an intellectual capital perspective

(2011) I-Shuo Chen et al.   QUALITY & QUANTITY

An empirical study of classification algorithm evaluation for financial risk prediction

(2010) Yi Peng et al.   APPLIED SOFT COMPUTING

Combining multiple feature selection methods for stock prediction: Union, intersection, and multi-intersection approaches

(2010) Chih-Fong Tsai et al.   DECISION SUPPORT SYSTEMS

Detecting evolutionary financial statement fraud

(2010) Wei Zhou et al.   DECISION SUPPORT SYSTEMS

Relevance of airborne lidar and multispectral image data for urban scene classification using Random Forests

(2010) Li Guo et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Rule extraction from support vector machines: A review

(2010) Nahla Barakat et al.   NEUROCOMPUTING

Variable selection using random forests

(2010) Robin Genuer et al.   PATTERN RECOGNITION LETTERS

Financial distress prediction based on SVM and MDA methods: the case of Chinese listed companies

(2010) Chi Xie et al.   QUALITY & QUANTITY

Ensemble-based classifiers

(2009) Lior Rokach   ARTIFICIAL INTELLIGENCE REVIEW

A study on the modified components of Asian Currency Unit: an application of the Artificial Neural Network

(2009) Jo-Hui Chen et al.   QUALITY & QUANTITY

An improvement on floating search algorithms for feature subset selection

(2008) Songyot Nakariyakul et al.   PATTERN RECOGNITION