Results 281 to 290 of about 55,996 (318)
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Statistical Optimality in Multipartite Ranking and Ordinal Regression
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015Statistical optimality in multipartite ranking is investigated as an extension of bipartite ranking. We consider the optimality of ranking algorithms through minimization of the theoretical risk which combines pairwise ranking errors of ordinal categories with differential ranking costs.
Kazuki, Uematsu, Yoonkyung, Lee
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Ordinal Optimization with Computing Budget Allocation for Selecting an Optimal Subset
Asia-Pacific Journal of Operational Research, 2016In this paper, we consider the problem of selecting the top [Formula: see text] systems when the number of alternative systems is very large. We propose a sequential procedure that consists of two stages to solve this problem. The procedure is a combination of the ordinal optimization (OO) technique and optimal computing budget allocation (OCBA ...
Almomani, Mohammad H. +1 more
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Quantifying Ordinal Performance of Ant Colony Optimization
Applied Mechanics and Materials, 2013In contrast to many successful applications of ant colony optimization, the theoretical foundation is rather weak. It greatly limits the application in practical problems. One problem, called solution quality evaluation, is how to quantify the performance of the algorithm. It is hardly solved by theoretical methods.
Zhao Jun Zhang, Zu Ren Feng
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Supervised feature subset selection with ordinal optimization
Knowledge-Based Systems, 2014The ultimate goal of supervised feature selection is to select a feature subset such that the prediction accuracy is maximized. Most of the existing methods, such as filter and embedded models, can be viewed as using approximate objectives which are different from the prediction accuracy.
Dingcheng Feng, Feng Chen, Wenli Xu
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Risk-Sensitive Ordinal Optimization
2023 Winter Simulation Conference (WSC), 2023Dohyun Ahn, Taeho Kim
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Improved constrained ordinal optimization for simulation-based constrained optimization
Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference, 2009The performance optimization of many man-made systems belong to simulation-based constrained optimization (SBCO), where the evaluation of both the performance and the constraint have no closed form expression and are based on simulation. The simulation-based estimate of both the performance and the feasibility are usually time-consuming and noisy.
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Ordinal Priority Approach (OPA) in Multiple Attribute Decision-Making
Applied Soft Computing Journal, 2020Amin Mahmoudi, Mohammad Reza Feylizadeh
exaly