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Machine learning in credit risk: measuring the dilemma between prediction and supervisory cost

Alonso, Andrés; Carbó, José Manuel - 2020

Informes recientes muestran la creciente adopción en el sector financiero de técnicas de aprendizaje automático o machine learning (ML) en la gestión del riesgo de crédito. En este entorno, los supervisores se encuentran ante el reto de permitir que se maximicen las oportunidades derivadas...

Persistent link: https://www.econbiz.de/10012525231

Artificial intelligence in financial services

Fernández Bedoya, Ana

Artículo de revista ; The use of artificial intelligence tools has escalated recently in all sectors of the economy owing, among other factors, to the growing volume of digital data and higher computational capacity. Major benefits may be reaped from applying these tools to the provision of...

Persistent link: https://www.econbiz.de/10012532407

Accuracy of explanations of machine learning models for credit decisions

Alonso, Andrés; Carbó Martinez, José Manuel

Uno de los principales retos en el uso de modelos de aprendizaje automático, o machine learning en inglés (ML), en finanzas es cómo explicar sus resultados. Recientemente han aparecido técnicas de interpretabilidad con este objetivo, pero existe discusión sobre su fiabilidad. En este...

Persistent link: https://www.econbiz.de/10013267753

Inteligencia artificial y finanzas: una alianza estratégica

Alonso, Andrés; Carbó Martinez, José Manuel

Recientes avances tecnológicos, como el almacenamiento masivo de datos y la computación en la nube, están dando lugar a un mayor uso de la inteligencia artificial en la economía y las finanzas, y modificando aspectos fundamentales tanto para entidades como para supervisores. En este...

Persistent link: https://www.econbiz.de/10013414504

AN ANALYSIS OF MISCLASSIFICATION RATES FOR DECISION TREES

Zhong, Mingyu - 2007

The decision tree is a well-known methodology for classification and regression. In this dissertation, we focus on the minimization of the misclassification rate for decision tree classifiers. We derive the necessary equations that provide the optimal tree prediction, the estimated risk of the...

Persistent link: https://www.econbiz.de/10009431076

Forecasting urban highway travel for year 2005

Miaou, Shaw-Pin; Rathi, A.K.; Southworth, F.; Greene, D.L. - 2008

As part of a study aimed at estimating suburban highway needs for year 2005, models were developed for forecasting daily vehicle miles of travel (DVMT) for urban areas and its distribution by highway functional class, urban location, and urban area size. A regression model combining both time...

Persistent link: https://www.econbiz.de/10009435975

The dynamics of iterated transportation simulations

Nagel, K.; Rickert, M.; Simon, P.M. - 2009

Transportation-related decisions of people often depend on what everybody else is doing. For example, decisions about mode choice, route choice, activity scheduling, etc., can depend on congestion, caused by the aggregated behavior of others. From a conceptual viewpoint, this consistency problem...

Persistent link: https://www.econbiz.de/10009436224

Effect of longer combination vehicles on the total logistic costs of truckload shippers

Middendorf, D.P.; Bronzini, M.S.; Jacoby, J.; Coyle, J.J. - 2009

The purpose of the research described in this paper was to examine the effects of using longer and heavier tractor-trailer combinations from the standpoint of the individual firm or shipper rather than from the viewpoint of the motor carrier. The objective was to determine the effect of longer...

Persistent link: https://www.econbiz.de/10009436563

Optimal routing of hazardous substances in time-varying, stochastic transportation networks

Woods, A.L.; Miller-Hooks, E.; Mahmassani, H.S. - 2009

recognized in the routing decisions. Existing approaches typically assume static conditions, possibly resulting in inefficient … methodologies to the problem of routing hazardous substances. Several specific problem formulations are presented, reflecting … highlights the benefits of incorporating these procedures in a decision-support system for hazardous substance shipment routing …

Persistent link: https://www.econbiz.de/10009436697

Many Roads to Travel: Alternative Approaches to Route Selection for Yucca Mountain Shipments

Dilger, F.; Halstead, R. J. - 2009

This paper examines the routing implications of the potential shipment of spent nuclear fuel and high-level radioactive … cross-country highway routes identified in the DOE's Final Environmental Impact Statement and three alternative routing … scenarios. The authors evaluate these routing scenarios based on four attributes: counties, exposed populations, total county …

Persistent link: https://www.econbiz.de/10009437024

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