Results 41 to 50 of about 1,913,123 (347)

Online discrete choice models: Applications in personalized recommendations

open access: yesDecision Support Systems, 2019
This paper presents a framework for estimating and updating user preferences in the context of app-based recommender systems. We specifically consider recommender systems which provide personalized menus of options to users.
Mazen Danaf   +4 more
semanticscholar   +1 more source

Random Projection Estimation of Discrete-Choice Models with Large Choice Sets [PDF]

open access: yesManagement Sciences, 2016
We introduce random projection, an important dimension-reduction tool from machine learning, for the estimation of aggregate discrete-choice models with high-dimensional choice sets. Initially, high-dimensional data are projected into a lower-dimensional
K. Chiong, M. Shum
semanticscholar   +1 more source

Definition of Discrete Choice Models of EV Owners Based on Different Socio-Demographic Aspects

open access: yesApplied Sciences, 2021
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

Application of Discrete Choice Models for Exploring Traveller’s Behaviour at Egyptian Transport Network [PDF]

open access: yesPort Said Engineering Research Journal, 2018
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

Discrete Choice Models for Commuting Interactions [PDF]

open access: yesSSRN Electronic Journal, 2017
An emerging quantitative spatial economics literature models commuting interactions by a gravity equation that is mathematically equivalent to a multinomial logit model. This model is widely viewed as restrictive because of the independence of irrelevant alternatives (IIA) property that links substitution behavior in response to changes in the ...
Rouwendal, Jan   +2 more
openaire   +3 more sources

Interplay between circadian and other transcription factors—Implications for cycling transcriptome reprogramming

open access: yesFEBS Letters, EarlyView.
This perspective highlights emerging insights into how the circadian transcription factor CLOCK:BMAL1 regulates chromatin architecture, cooperates with other transcription factors, and coordinates enhancer dynamics. We propose an updated framework for how circadian transcription factors operate within dynamic and multifactorial chromatin landscapes ...
Xinyu Y. Nie, Jerome S. Menet
wiley   +1 more source

Topological impact of constrained fracture growth

open access: yesFrontiers in Physics, 2015
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

Discrete Choice Modeling [PDF]

open access: yes, 2009
We detail the basic theory for models of discrete choice. This encompasses methods of estimation and analysis of models with discrete dependent variables. Entry level theory is presented for the practitioner. We then describe a few of the recent, frontier developments in theory and practice.
openaire   +2 more sources

Time after time – circadian clocks through the lens of oscillator theory

open access: yesFEBS Letters, EarlyView.
Oscillator theory bridges physics and circadian biology. Damped oscillators require external drivers, while limit cycles emerge from delayed feedback and nonlinearities. Coupling enables tissue‐level coherence, and entrainment aligns internal clocks with environmental cues.
Marta del Olmo   +2 more
wiley   +1 more source

Comparing discrete choice and machine learning models in predicting destination choice

open access: yesEuropean Transport Research Review
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

Home - About - Disclaimer - Privacy