Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 541 for “"Pareto"”.
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A Recency-Only Pareto/NBD
This paper will examine an extension to the Pareto/NBD model commonly used in customer base analysis. The paper will demonstrate and estimate a "recency-only" version of the Pareto/NBD. The model will be fit to both real-world and simulated data and will be compared to the "recency/frequency" …
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Optimal controller comparison using Pareto fronts
… visualisation and Performance Measures for Pareto fronts as tools for comparing modern control schemes in a more robust and objective manner.
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Multivariable controller design using pareto front
… with a posteriori decision-making based on Pareto efficiency, level diagrams, hyper volumes and other performance indices is used to compare quantitatively the two controller structures when applied to a highly interactive multivariable system based on this plant.
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A Discrete Pareto Distribution on Positive Integers
… thought of as a discrete counterpart of the Pareto distribution. Here we study an alternative discrete Pareto distribution, using the general approach of discretizing a continuous distribution. We obtain several important theoretical properties of the distribution, that resamble similar …
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Bayesian Inference of the Weibull-Pareto Distribution
… distribution was further extended by the Weibull-Pareto distribution. A desirable property this distribution has is its shape can skew being able to better model left or right skewed data. Examples of skewed data include human longevity and actuarial data. In this work a hierarchical Bayesian …
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Pareto Optimization in Robotics With Acceleration Constraints
Earlier work demonstrated a finite number of Pareto-optimal classes of motion plans when the robots are subjected to velocity bounds but no acceleration bounds. We prove that, when velocity and acceleration are bounded, the finiteness result still holds for systems involving only two robots. In …
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Kai kurios sudėtinio lognormaliojo – apibendrinto Pareto skirstinio savybės /
… actuarial data with a composite lognormal – Pareto model“ (Scandinavian Actuarial Journal, 5, pages 321-334) and McNeil Alexander J. „Estimating the tails of loss severity distributions using extreme value theory“ (ASTIN Bulletin, 27, pages 117-137). The first article presents a two - …
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Preference inference based on lexicographic and Pareto models
… models that are based on lexicographic and Pareto orders. We consider user preference statements that are given in the form of comparisons of alternatives or alternative sets. For some model types and preference statements we formulate efficient algorithms; for others we show NP-completeness …
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Nonparametic-validated computer-simulation surrogates : a Pareto formuation
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 1997.
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Efficient Continuous Pareto Exploration in Multi-Task Learning
… exists. Recent papers introduced the concept of Pareto optimality to this field and directly cast multi-task learning as multiobjective optimization problems, but solutions returned by existing methods are typically finite, sparse, and discrete. We present a novel, efficient method that generates …
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Pareto Gamuts : exploring optimal designs across varying contexts
… The best achievable trade-offs reside on the Pareto front, which can be discovered via performance-driven optimization. Objective functions used to define the Pareto front often incorporate assumptions about the context in which a part will be used, including loading conditions, environmental …
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Truncation Models for Pareto and Exponential Distributions with Applications
… work is truncation. We revisit the truncated Pareto(TP) distribution, which is a useful power-law stochastic model for positive data that are subjected to truncation. We extend the standard TP model in the literature, where the main shape parameter α is assumed to be positive, to a more …
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Automating Pareto-Optimal Experiment Design via Efficient Bayesian Optimization
… discovering the set of optimal solutions, called Pareto-optimal, while minimizing the number of performed evaluations. To further reduce the evaluation time in the optimization process, testing of several samples in parallel can be deployed. We propose DGEMO, a novel multi-objective Bayesian …
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Visualizing Multidimensional Data with General Line Coordinates and Pareto Optimization
… from one graph to the next. Visualizing the Pareto Frontier with GLC-L allows n-D data to be viewed at once, compared to typical methods that are limited to 2 or 3 objectives at a time. This method details the process of selecting a ”best” case, from a group of equals in the Pareto Subset and …
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A Pareto frontier for full stern submarines via genetic algorithm
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Ocean Engineering, 1998.
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On estimation and goodness-of-fit testing for the Pareto distribution
The Pareto distributions are a class of distributions containing several members with varying levels of flexibility. Two of these members, the Pareto Type I and the Lomax distributions, are of particular interest in this thesis. The Pareto Type I distribution is a popular choice of model in many …
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Robust Pareto - Optimum Routing of Ships utilizing Deterministic and Ensemble Weather Forecasts
… wird ein von dem italienischen Ökonomen Vilfredo PARETO vorgeschlagenes Konzept verwendet. Ein heuristisches Suchverfahren, der Genetische Algorithmus für mehrere Gütekriterien, zeigt gute Ergebnisse bei der Suche nach PARETO optimalen Routen, die zur Unterstützung der Routenplanung herangezogen …
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Multi-Objective Generation of Pareto-Optimal Perception Architectures for Autonomous Robotic Systems
… demonstrate the framework’s ability to generate Pareto-optimal sensor architectures under vastly different ROI definitions and operating conditions. In the Jackal study, GO4R converges to a population of 11 novel Pareto-optimal designs, and revealing sensitivity to voxel size and importance …
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Rediscovering the classical roots in the sociology of emotion: Comte, Pareto, and Durkheim
… the extent to which classical scholars -- Comte, Pareto, and Durkheim -- conceptualized emotion as reflected in their respective works. This interpretive work seeks to further substantiate a classical grounding for the sociology of emotions, that is, to show that there is a breadth of material in …
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Learning-Based Pareto Optimal Control of Large-Scale Systems with Unknown Slow Dynamics
We develop a data-driven approach to Pareto optimal control of large-scale systems, where decision makers know only their local dynamics. Using reinforcement learning, we design a control strategy that optimally balances multiple objectives. The proposed method achieves near-optimal performance and …
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