Results 31 to 40 of about 116,197 (306)
Estimating the Potential Modal Split of Any Future Mode Using Revealed Preference Data
Mode choice behaviour is often modelled by discrete choice models, in which the utility of each mode is characterized by mode-specific parameters reflecting how strongly the utility of that mode depends on attributes such as travel speed and cost, and a ...
Gijsbert Koen de Clercq +3 more
doaj +1 more source
Definition of Discrete Choice Models of EV Owners Based on Different Socio-Demographic Aspects
With an increasing number of electric vehicles (EVs), their owners’ involvement in the control of electric power systems and their market seems to be the only option for stable operation of future power networks. However, these people usually have little
Martina Kajanova, Peter Bracinik
doaj +1 more source
A Discrete Choice Model for Subset Selection [PDF]
Multinomial logistic regression is a classical technique for modeling how individuals choose an item from a finite set of alternatives. This methodology is a workhorse in both discrete choice theory and machine learning. However, it is unclear how to generalize multinomial logistic regression to subset selection, allowing the choice of more than one ...
Austin R. Benson +2 more
openaire +1 more source
Structural insights and therapeutic targets in Acinetobacter baumannii capsule biosynthesis
Hypervirulent KL49 A. baumannii's capsular polysaccharide contains the nonulosonic acid 8‐epi‐Leg5,7Ac2, synthesized by epimerization via ElaA, ElaB, and ElaC. Crystal structures of ElaA, ElaB, and ElaC reveal their role in CMP‐Leg5,7Ac2 synthesis and regioselective C8 epimerization.
Woo Cheol Lee +7 more
wiley +1 more source
Topological impact of constrained fracture growth
The topology of two discrete fracture network models is compared to investigate the impact of constrained fracture growth. In the Poissonian discrete fracture network model the fractures are assigned length, position and orientation independent of all ...
Sigmund Mongstad Hope +6 more
doaj +1 more source
Application of Discrete Choice Models for Exploring Traveller’s Behaviour at Egyptian Transport Network [PDF]
Mode choice models generally form a critical part of the analysis of the travel demand of any study area in any country and have played an important role in transport modelling over the last decades.
Ahmed Semeida
doaj +1 more source
Design and analysis strategies for robust microbiome ageing research
The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik +5 more
wiley +1 more source
Comparing discrete choice and machine learning models in predicting destination choice
Destination choice modeling has long been dominated by theory-based discrete choice models. Simultaneously, machine learning has demonstrated improved predictive performance to other fields of discrete choice modeling.
Ilona Rahnasto, Martijn Hollestelle
doaj +1 more source
A Discrete Choice Model for Ordered Alternatives
A generalization of the multinomial logit (MNL) model is developed in which discrete alternatives are ordered so as to induce stochastic correlation among alternatives in close proximity. It is designed for situations where the alternatives are ordered, but is more flexible than previous ordered models.
openaire +3 more sources
Tumors contain diverse cellular states whose behavior is shaped by context‐dependent gene coordination. By comparing gene–gene relationships across biological contexts, we identify adaptive transcriptional modules that reorganize into distinct vulnerability axes.
Brian Nelson +9 more
wiley +1 more source

