منابع مشابه
Interval Scales From Paired Comparisons
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متن کاملPolicy Search using Paired Comparisons
Direct policy search is a practical way to solve reinforcement learning (RL) problems involving continuous state and action spaces. The goal becomes finding policy parameters that maximize a noisy objective function. The Pegasus method converts this stochastic optimization problem into a deterministic one, by using fixed start states and fixed random number sequences for comparing policies (Ng ...
متن کاملSome Equivalence Classes in Paired Comparisons
Introduction. In a paired comparison experiment n judges give a preference in some or all of the (~) pairs of t items. Frequently the purpose of the experiment is to test the null hypothesis that every preference is equally likely against a vaguely defined alternative of consistency. Our purpose is to study several of the tests used, from the point of view of a natural equivalence relation whic...
متن کاملPaired Comparisons-based Interactive Differential Evolution
We propose Interactive Differential Evolution (IDE) based on paired comparisons for reducing user fatigue and evaluate its convergence speed in comparison with Interactive Genetic Algorithms (IGA) and tournament IGA. User interface and convergence performance are two big keys for reducing Interactive Evolutionary Computation (IEC) user fatigue. Unlike IGA and conventional IDE, users of the prop...
متن کاملSizing user stories using paired comparisons
Agile estimation approaches usually start by sizing the user stories to be developed by comparing them among themselves. Different techniques, with varying degrees of formality are used to conduct the comparisons – plain contrasts, triangulation, planning poker and voting. This article proposes the use of a modified paired comparison method in which a reduced number of comparisons is selected a...
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ژورنال
عنوان ژورنال: The Annals of Mathematical Statistics
سال: 1964
ISSN: 0003-4851
DOI: 10.1214/aoms/1177703572