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Filtering by: Subject Economic development -- Mathematical models Remove constraint Subject: Economic development -- Mathematical models Degree Field Computer Science Remove constraint Degree Field: Computer Science

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  • Reinforcement learning-based off-equilibrium incentives to approximate the VCG mechanism

    Creator:
    Moissinac, Béatrice
    Abstract:
    Auctions are used to solve resource allocation problem between many agents and many items in real-world settings. Unfortunately, in most cases, it is possible for selfish agents to manipulate the system for their own interest at the expense of the social welfare. Such manipulation can be prevented using the Vickrey-Clarke-Groves...
    Resource Type:
    Masters Thesis
    Full Text:
    System & Dynamics . . . . . . . . . . . . . . . . . . . . . . . . . . 25 4.2.2 CubeSats Model 1

  • Learning cost-sensitive diagnostic policies from data

    Creator:
    Zubek, Valentina Bayer
    Abstract:
    In its simplest form, the process of diagnosis is a decision-making process in which the diagnostician performs a sequence of tests culminating in a diagnostic decision. For example, a physician might perform a series of simple measurements (body tem- perature, weight, etc.) and laboratory measurements (white blood count, CT scan,...
    Resource Type:
    Dissertation
    Full Text:
    training examples from which we can compute the transition probability model, we can de�ne an MDP whose

  • A comparison of box-cox and additive exponential models to estimate the depreciation of farm machinery

    Creator:
    Wu, Jing
    Abstract:
    Farm machinery continues to increase in its importance to the agricultural sector. Depreciation, the decline in value of a durable asset over time, represents one of the largest costs of agricultural production. The general objectives of this study were to update and expand the number of Remaining Value (RV) functions...
    Resource Type:
    Masters Thesis
    Full Text:
    Hedonic Approach 9 2.2 Theoretical Development 10 2.2.1 Theoretical Development in Box-Cox model 14

  • Accuracy versus cost in distributed data mining

    Creator:
    Deutschman, Stephanie
    Abstract:
    A basic tradeoff to consider when designing a distributed data-mining framework is the need for a compromise between the cost of communication and computation resources and the accuracy of the mining results. This is essentially a decision of whether it is more efficient to communicate all of the data to...
    Resource Type:
    Masters Thesis
    Full Text:
    this tradeoff. This thesis also develops a methodical mathematical framework to describe this type