Random utility models have been widely used in many diverse fields. Considering utility as a random variable opened many new analytical doors to researchers in explaining behavioral phenomena. Introducing and incorporating the random error term into the utility function had several reasons, including accounting for unobserved variables. This paper incorporates fuzziness into random utility mode...

In this paper, we propose an original system for a subjective utility function estimation suitable for real-time video applications. In video networking applications, utility function is deened as a video quality metrics representing a user satisfaction index as a function of bandwidth. The real-time performance is achieved in our system by (1) using novel content classiication techniques based...

The application and estimation of expected utility based decision models would benefit from having additional simple and flexible functional forms to represent risk preferences. The literature so far has provided these functional forms for the utility function itself. This work shows that functional forms for the marginal utility function are as useful, are easier to provide, and can represent ...

The relevance vector machine (RVM) is applied for feature-vector quantization (codebook design) and for density-function estimation in high-dimensional feature space. The RVM represents a Bayesian extension of the widely applied support vector machine (SVM). The use of RVMs for quantization and density-function estimation is explored with application to discrete and continuous HMMs, respectivel...

Resource allocation techniques have recently appeared as a widely recognized feature in LTE networks. Most of existing approaches in resource allocation focus on maximizing network’s utility functions. The great potential of utility function in improving resource allocation and enhancing fairness and mean opinion score (MOS) indexes has attracted large efforts over the last few years. In this p...

this paper presents a hybrid technique for simultaneous estimation of parameter and function in inverse heat conduction problems. no prior information is used for the functional form of the heat flux in the present study. the scheme presented here is a combination of two different classical methods: the variable metric method (vmm) and gauss method (gm). the determination of the unknown thermal...