Do I know what I want to say? Modeling meaning uncertainty in RSA
Models using the Rational Speech Act (RSA) framework typically assume that speakers are certain about the meaning being communicated. In this work we note that there are contexts in which this assumption need not hold, and propose a method (um-RSA) to ...
Carolyn Jane Anderson +2 more
core +6 more sources
Understanding predictive uncertainty in hydrologic modeling: The challenge of identifying input and structural errors [PDF]
Meaningful quantification of data and structural uncertainties in conceptual rainfall-runoff modeling is a major scientific and engineering challenge. This paper focuses on the total predictive uncertainty and its decomposition into input and structural ...
Thyer, M. +5 more
core +1 more source
Model parameter estimation and uncertainty analysis: a report of the ISPOR-SMDM modeling good research practices task force working group - 6 [PDF]
A model’s purpose is to inform medical decisions and health care resource allocation. Modelers employ quantitative methods to structure the clinical, epidemiological, and economic evidence base and gain qualitative insight to assist decision makers in ...
Sculpher, M.J. +16 more
core +1 more source
How to measure uncertainty in uncertainty sampling for active learning [PDF]
Various strategies for active learning have been proposed in the machine learning literature. In uncertainty sampling, which is among the most popular approaches, the active learner sequentially queries the label of those instances for which its current ...
Hüllermeier, Eyke +3 more
core +2 more sources
Modeling uncertainty of flexible structures with unknown high-order modal parameters - a geometric characterization of frequency responses [PDF]
A control-oriented uncertainty modeling on frequency domain is presented for a class of spectral systems with unknown high-order modal parameters.
Imai, Jun
core +1 more source
Cost uncertainty management and modelling for industrial product-service systems [PDF]
Globally manufacturing based industries are typically transforming operations to enhance the delivery of services throughout equipment use. Within the defence industry, Contracting for Availability (CfA) has emerged as an approach that is increasingly
Erkoyuncu, John Ahmet
core +7 more sources
A Neutrosophic Logic and Probability-Based Artificial Intelligence Model for Smart Elderly Care Services in Urban Ecosystems [PDF]
Smart elderly care services in urban communities often face challenges involving uncertainty, incomplete data, and conflicting information. Traditional logic and probability frameworks typically fail to manage these complexities adequately.
Xiaoqin Yang
doaj +1 more source
Strategies for Teaching Travel Time Uncertainty Modeling
Uncertainty is an essential factor in transportation. For example, one cannot predict exactly the travel time from home to work. Conventional transportation pedagogy is mainly focused on modeling deterministic situations because of the complex ...
Wang, Shuaian +5 more
core +1 more source
Advances in Virtual Power Plant Operations: A Review of Optimization Models
In recent decades, the global shift toward sustainable energy solutions has accelerated, prompting nations to integrate renewable energy sources (RES) into their electricity grids and adhere to international environmental protocols.
Fatemeh Marzbani +2 more
doaj +1 more source
Assessment of Artificial Intelligence-Driven Fitness and Health Management Programs for Adolescents Using the SuperHyperSoft Set Framework [PDF]
The rising use of artificial intelligence in adolescent fitness and health applications has created a need for more sophisticated evaluation frameworks.
Di Wu, Ali Khatibi, Jacquline Tham
doaj +1 more source

