Search results for " utility"
showing 4 items of 74 documents
Random utility approach to re-design passengers interchange nodes
2009
The passengers interchange node is a complex infrastructure, where the user can choose among different modal options to do his/her trip. These transport infrastructures have various terminals (car park, bus stop, metro, light rail, railway, extra-urban and sub urban bus and so on). The passengers, inside interchange node, have to reach these terminals walking often with luggage and for long distances. We calibrated a discrete choice model taking into account attributes able to explain the passenger behaviour by observed flows and generalized least squares technique. Furthermore an ex ante / ex post analysis was carried out in order to design and evaluate measure to incentive modal integrati…
Thèse : L'intégration de l'environnement au droit de l'électricité. Vers le renouvellement d'un service public.
2012
Equality, continuity and adaptability. Foundations of the right of the public utilities, Rolland laws apply vigorously to the public service for electricity, where activities did not change since the advent of the « electricity fairy ». It is always about producing, transporting, distributing and supplying electricity, respecting the general interest. Nevertheless, the legal framework applicable to these activities is under a dramatic transition, stemming from the will of the European Union to create a single market for electricity. These changes incrementally drive to a shift of the public utility, basically socially oriented, to more and more demanding and diversified economic objectives.…
Problem Transformation Methods with Distance-Based Learning for Multi-Target Regression
2020
Multi-target regression is a special subset of supervised machine learning problems. Problem transformation methods are used in the field to improve the performance of basic methods. The purpose of this article is to test the use of recently popularized distance-based methods, the minimal learning machine (MLM) and the extreme minimal learning machine (EMLM), in problem transformation. The main advantage of the full data variants of these methods is the lack of any meta-parameter. The experimental results for the MLM and EMLM show promising potential, emphasizing the utility of the problem transformation especially with the EMLM. peerReviewed