In this paper an attempt is made to explain the basic concept of efficiency, frontier production function, technical efficiency, deterministic frontier, and stochastic frontier. Efficiency of a firm/industry refers to its performance in the utilization of resources at its disposal and is a relative concept. Technical efficiency of a production function is defined as the maximum quantity of outp...

Accurate calibration of probabilistic predictive models learned is critical for many practical prediction and decision-making tasks. There are two main categories of methods for building calibrated classifiers. One approach is to develop methods for learning probabilistic models that are wellcalibrated, ab initio. The other approach is to use some post-processing methods for transforming the ou...

In this paper, existence and solution of the feedforward plus feedback control law for model reference control of a class of second-order dynamic systems are investigated. A necessary and sufficient condition for the existence of the controllers is established. Based on a result of parametric eigenstructure assignment in second-order dynamic systems, general complete parametric expressions for ...

In this paper, we use parametric form of fuzzy number, then aniterative approach for obtaining approximate solution for a classof nonlinear fuzzy Fredholmintegro-differential equation of the second kindis proposed. This paper presents a method based on Newton-Cotesmethods with positive coefficient. Then we obtain approximatesolution of the nonlinear fuzzy integro-differential equations by an it...

Small Area estimation is a technique used to estimate parameters of subpopulations with small sample sizes.  Small area estimation is needed  in obtaining information on a small area, such as sub-district or village.  Generally, in some cases, small area estimation uses parametric modeling.  But in fact, a lot of models have no linear relationship between the small area average and the covariat...

The primary purpose of this chapter is to present an approach for developing nonparametric models for magneto-rheological (MR) dampers. Upon describing the approach adopted here, a non-parametric model for a commercial magneto-rheological damper is developed, and is compared with a parametric model from an earlier study. The results show that the proposed non-parametric model can more effective...

We present a semi-parametric approach to photographic image synthesis from semantic layouts. The approach combines the complementary strengths of parametric and nonparametric techniques. The nonparametric component is a memory bank of image segments constructed from a training set of images. Given a novel semantic layout at test time, the memory bank is used to retrieve photographic references ...

Abstract We extend the standard mixture of linear regressions model by allowing mixing proportions to be modeled nonparametrically as a function of the predictors. This framework allows for more flexibility in the modeling of the mixing proportions than the fully parametric mixture of experts model, which we also discuss. We present an EM-like algorithm for estimation of the new model. We also ...

We extend the standard mixture of linear regressions model by allowing mixing proportions to be modeled nonparametrically as a function of the predictors. This framework allows for more flexibility in the modeling of the mixing proportions than the fully parametric mixture of experts model, which we also discuss. We present an EM-like algorithm for estimation of the new model. We also provide s...

Constraint databases provide a very expressive framework for spatiotemporal database applications. However, animating such databases is diicult because of the cost of constructing a graphical representation of a single snapshot of a constraint database. We present a novel approach that makes the eecient animation of constraint databases possible. The approach is based on a new construct: parame...