Different problems of generalization of outlier rejection exist depending of the context. In this study we firstly define three different problems depending of the outlier availability during the learning phase of the classifier. Then we propose different solutions to reject outliers with two main strategies: add a rejection class to the classifier or delimit its knowledge to better reject what...

Due to intuitive training algorithms and model representation, prototypebased models are popular in settings where on-line learning and model interpretability play a major role. In such cases, a crucial property of a classifier is not only which class to predict, but also if a reliable decision is possible in the first place, or whether it is better to reject a decision. While strong theoretica...

In this contribution, we focus on reject options for prototypebased classifiers, and we present a comparison of reject options based on statistical models for prototype-based classification as compared to alternatives which are motivated by simple geometric principles. We compare the behavior of generative models such as Gaussian mixture models and discriminative ones to results from robust sof...

Reject inference is the process of estimating the risk of defaulting for loan applicants that are rejected under the current acceptance policy. In this survey article we show how the problem of reject inference can be viewed as one of statistical inference with incomplete data. We use a well known classification of missing data mechanisms into ignorable and nonignorable to organize the discussi...

One such method of influencing decision making involves wording of the question. For example, when asked to choose between two options, participants tend to select the option with the strongest positive features; however, when asked to reject one of two options, participants tend to select (reject) the option with the strongest negative features. The option people reject and choose could well b...

Microstrip filters are widely used in microwave circuit, This paper briefly describes the design principle of microstrip band stop filters. This paper presents novel millimeter wave filter structures by creation of some slots on the strip. This paper presents the design and simulation of a narrow band stop filter using microstrip which is designed to have a central frequency of 1.273 GHz which ...

A pattern to be classified is an object described by d feature values, i.e. a d-dimensional vector x= (x1 x2 ... xd) . Conventional pattern classification aims at associating each pattern to one of c predefined classes {ω1, ω2, ..., ωc} assumed to be representative of particular objects available from a learning set Ω = {x1,x1, ...xn}. The classification is carried out on the base of class labe...

Five statements measuring social distance from and prejudice against the ex-mentally ill were read to 137 psychiatric patients and relatives from urban background. Their agreement and disagreement with the five statements was analysed and compared with controls from an orthopaedic clinic.Maximum social distance was found on statements about establishing marital relationship with an ex-mental pa...

The purpose of this paper is to discuss recent progress in the development of an NDE decision formalism applied to the case of brittle fracture in ceramics. The on-line input into the formalism is a set of nondestructive (ND) measurements and the on-line output is the probability of failure conditioned on the above measurements. The final accept-reject decision depends only upon the comparison ...

The agent gives an assessment by making statements about gambles f : Accepting (⊕) implies a commitment: (i) outcome ω ∈Ω is determined, (ii) he receives the payoff f (ω). Rejecting (⊖) implies that he considers accepting f unreasonable; this is relevant when combining assessments. An assessment is a pair A ∶= ⟨A⪰;A≺⟩ in A ∶= 2 × 2 of sets of acceptable respectively dispreferred gambles. Unreso...