Report NEP-CMP-2020-12-21

This is the archive for NEP-CMP, a report on new working papers in the area of Computational Economics. Stan Miles issued this report. It is usually issued weekly.

Subscribe to this report: email, RSS, or Mastodon.

Other reports in NEP-CMP

The following items were announced in this report:

• Mike Ludkovski, 2020. "mlOSP: Towards a Unified Implementation of Regression Monte Carlo Algorithms," Papers 2012.00729, arXiv.org, revised Oct 2022.
• Burka, Dávid & Puppe, Clemens & Szepesváry, László & Tasnádi, Attila, 2020. "Voting: A machine learning approach," Working Paper Series in Economics 145, Karlsruhe Institute of Technology (KIT), Department of Economics and Management.
• Bojing Feng & Wenfang Xue & Bindang Xue & Zeyu Liu, 2020. "Every Corporation Owns Its Image: Corporate Credit Ratings via Convolutional Neural Networks," Papers 2012.03744, arXiv.org.
• Gao, Hang & Chen, Shenyang & Zhang, Michael, 2020. "Get More Out of Variable Speed Limit (VSL) Control: An Integrated Approach to Manage Traffic Corridors with Multiple Bottlenecks," Institute of Transportation Studies, Working Paper Series qt6th037wz, Institute of Transportation Studies, UC Davis.
• Glyn Wittwer & Kym Anderson, 2020. "A model of global beverage markets," Departmental Working Papers 2020-05, The Australian National University, Arndt-Corden Department of Economics.
• Majid Eskandarpour & Pierre Dejax & Olivier Péton, 2019. "Multi-Directional Local Search for Sustainable Supply Chain Network Design," Post-Print hal-02407741, HAL.
• Lara Marie Demajo & Vince Vella & Alexiei Dingli, 2020. "Explainable AI for Interpretable Credit Scoring," Papers 2012.03749, arXiv.org.
• Sergio A. Pernice, 2020. "Serie de Machine Learning Análisis de Componentes Principales (PCA)," CEMA Working Papers: Serie Documentos de Trabajo. 770, Universidad del CEMA.
• Lucian-Ionut Gavrila & Alexandru Popa, 2020. "A novel algorithm for clearing financial obligations between companies -- an application within the Romanian Ministry of Economy," Papers 2012.05564, arXiv.org.
• Kleinebrahm, Max & Torriti, Jacopo & McKenna, Russell & Ardone, Armin & Fichtner, Wolf, 2020. "Using neural networks to model long-term dependencies in occupancy behavior," Working Paper Series in Production and Energy 49, Karlsruhe Institute of Technology (KIT), Institute for Industrial Production (IIP).
• Michal Balcerak & Thomas Schmelzer, 2020. "Constructing trading strategy ensembles by classifying market states," Papers 2012.03078, arXiv.org.