Embedded heterogeneous feature selection for conjoint analysis: A SVM approach using L1 penalty

Efficient approaches for ℓ 2-ℓ 0 regularization and applications to feature selection in SVM

(2016) Hoai An Le Thi et al.   APPLIED INTELLIGENCE

Two effective sample selection methods for support vector machine

(2016) Xianli Pan et al.   JOURNAL OF INTELLIGENT & FUZZY SYSTEMS

Hierarchical feature selection based on relative dependency for gear fault diagnosis

(2015) Mariela Cerrada et al.   APPLIED INTELLIGENCE

Profit-based feature selection using support vector machines – General framework and an application for customer retention

(2015) Sebastián Maldonado et al.   APPLIED SOFT COMPUTING

Advanced conjoint analysis using feature selection via support vector machines

(2015) Sebastián Maldonado et al.   EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

Inferring attribute non-attendance from stated choice data: implications for willingness to pay estimates and a warning for stated choice experiment design

(2011) David A. Hensher et al.   TRANSPORTATION

Simultaneous feature selection and classification using kernel-penalized support vector machines

(2010) Sebastián Maldonado et al.   INFORMATION SCIENCES

Eliciting Consumer Preferences Using Robust Adaptive Choice Questionnaires

(2008) Jacob Abernethy et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Convex multi-task feature learning

(2008) Andreas Argyriou et al.   MACHINE LEARNING