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The student's assessment is the core of learning process, which facilitates teachers to evaluate a student's knowledge level; furthermore, the precise measurement helps the students knowledge development reaches their full potential. Usually, this assessment method is also known as computer adaptive testing (CAT). The conventional CAT systems contain its own item bank, which is stored separately in...
The challenge of facial biometrics is the decision rule of how to determine whether the claimant is the genuine user. It is an important issue that the decision rule affects the accuracy of performance. Therefore, the study proposes a breadth-first-based decision algorithm for facial biometrics. The proposed algorithm searches different graph paths to obtain a verified decision to accept or reject...
This paper aims to develop a decision rule-based model of household car ownership by using household travel survey data. The rough set approach as one of data mining techniques provides an effective tool to model the presented data set with decision rule sets. In this paper, the outputted “if-then” rules show the significant relationships between car ownership type and household characteristics. The...
The problem of defining a decision rule which takes into account performance constraints and class-selective rejection is formalized in a general framework. In the proposed formulation, the problem is defined using three kinds of criteria. The first is the cost to be minimized, which defines the objective function, the second are the decision options, determined by the admissible assignment classes...
The k nearest centroid neighbor (k-NCN) is a relatively new powerful decision rule based on the concept of so-called surrounding neighborhood. Its main drawback is however slow classification, with complexity O(nk) for classifying a single sample. In this work, we try to alleviate this disadvantage of k-NCN by limiting the set of the candidates for NCN neighbors for a given sample. It is based on...
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