Details

Autor(en) / Beteiligte

• Divasón, Jose
• Pernia-Espinoza, Alpha
• Romero, Ana
• Martinez-de-Pison, Francisco Javier

Titel

Hybrid Intelligent Parsimony Search in Small High-Dimensional Datasets

Ist Teil von

• Hybrid Artificial Intelligent Systems, p.384-396

Ort / Verlag

Cham: Springer Nature Switzerland

Link zum Volltext

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• The search for machine learning models that generalize well with small high-dimensional datasets is a current challenge. This paper shows a specific hybrid methodology for this kind of problems combining HYB-PARSIMONY and Bayesian Optimization. The methodology proposes to use HYB-PARSIMONY with different random seeds and select those features that had the highest mean probability. Subsequently, with these features, a hyperparameter adjustment is performed with Bayesian Optimization. The results show that the methodology substantially improves the degree of generalization and parsimony of the obtained models compared to previous methods.