[HTML][HTML] Fifty years of data envelopment analysis
Abstract Data Envelopment Analysis (DEA) has emerged as a powerful analytical tool,
revolutionising the field of Operational Research (OR) and contributing to advancements in …
revolutionising the field of Operational Research (OR) and contributing to advancements in …
Measuring technical efficiency for multi-input multi-output production processes through OneClass Support Vector Machines: a finite-sample study
We introduce a new method for the estimation of production technologies in a multi-input
multi-output context, based on OneClass Support Vector Machines with piecewise linear …
multi-output context, based on OneClass Support Vector Machines with piecewise linear …
Environmental sustainability performance of US airlines: implications of financial performance and technical efficiency
Air transportation significantly contributes to global CO2 emissions. The US Aviation Climate
Action Plan introduced in November 2021 aims to decarbonize the aviation sector by 2050 …
Action Plan introduced in November 2021 aims to decarbonize the aviation sector by 2050 …
5 Leave-One-Out Validation in Machine Cross-Learning
R Sreedharan, J Prajapati, P Engineer… - Ethical Issues in AI for …, 2023 - books.google.com
Machine learning has become so popular for many reasons such as large volumes of
available data to manage; the large-scale companies are using large-scale datasets for the …
available data to manage; the large-scale companies are using large-scale datasets for the …
Leave-One-Out Cross-Validation in Machine Learning
R Sreedharan, J Prajapati, P Engineer… - Ethical Issues in AI for …, 2024 - taylorfrancis.com
Automatically adapting new productive approaches from the previous effort is one of the
traditional ways of improving upcoming challenges. Machine learning (ML) is very popular …
traditional ways of improving upcoming challenges. Machine learning (ML) is very popular …
Machine Learning Techniques and Efficiency Evaluation: A Survey of Methodological Contributions
This chapter surveys the literature on two types of related contributions. The first group is
made up of models devoted to adapting well-known machine learning techniques for …
made up of models devoted to adapting well-known machine learning techniques for …
Merging Data Envelopment Analysis and Structural Risk Minimization: Some Examples of Use of Multi-output Machine Learning Techniques on Real-World Data
Abstract Data Envelopment Analysis (DEA) is nowadays a very famous nonparametric
technique for the measurement of technical efficiency. It does so by building a production …
technique for the measurement of technical efficiency. It does so by building a production …
Assessing the technical efficiency of small farmers cultivating wheat in Punjab, Pakistan: A Stochastic Frontier Analysis (SFA)
Agriculture is an important sector in developing countries since it employs the bulk of the
people and contributes significantly to GDP. Wheat is an important crop for both money and …
people and contributes significantly to GDP. Wheat is an important crop for both money and …