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 19 of 19 for “"Probabilistic distribution"”.
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Revenue optimization for a hotel property with different market segments : demand prediction, price selection and capacity allocation
… that the gap between the bounds depends on the probabilistic distribution of the demand. Thus, for high prediction accuracies, the optimal value of the DP can be closely approximated by the MILP solution. Finally, numerical results show that the optimized decisions are able to generate an …
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Discriminative, generative, and imitative learning
… and imitative learning. A generative probabilistic distribution is a principled way to model many machine learning and machine perception problems. Therein, one provides domain specific knowledge in terms of structure and parameter priors over the joint space of variables. Bayesian …
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Schrödinger’s Carbon: Until Measured, Operational Emissions Remain Uncertain
… each of which has its own underlying uncertainty distribution. This means in most cases, these averages do not accurately represent a particular server’s context. This thesis explicitly parameterizes and quantifies the full probabilistic distribution of operational carbon in AI inference tasks. It …
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Quantitative policy analysis for aviation biofuel production technologies
… the impact of the policies on the median and probabilistic distribution of project net present value (NPV), and minimum selling price (MSP) of the resulting middle distillate fuel products. The policies of interest were layered on top of each baseline TEA model and the relationships between …
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Systems Uncertainty in Systems Biology & Gene Function Prediction
… treatments. The algorithm provides a probabilistic distribution of possible gene expression values within un- measured intervals, based on a plausible biological constraint. We show how quantification of this uncertainty can be used to guide researchers in further data collection by …
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Development and Application of a New Modeling Technique for Production Control Schemes in Manufacturing Systems
… numerical solutions can be obtained for any probabilistic distribution. The electrical analogs provide an excellent tool to model control signals and logical operations. This is especially important for pull control schemes where qualitative descriptions often found in the literature can be …
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Lifted probabilistic relational inference for uncertain networks
Probabilistic Relational Graphical Model (PRGM) is a popular tool for modeling uncertain relational knowledge, of which the set of uncertain relational knowledge is usually assumed to be independent with the domain of the application. One common application of PRGM is to model complex networks …
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Time varying probability of failure of steel floor beams subjected to real fire
… modelling, some small resistance time from the probabilistic distribution times of failure can be deduced, which gives an acceptably small risk of failure. Time of failure modelling by itself can only give the mean time failure which could lead to excessive risk if the variability of time of …
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Mode identification using stochastic hybrid models with applications to conflict detection and resolution
… strategies. Conflict detection is an inherently probabilistic endeavor; our ability to detect conflicts in a timely and accurate manner over a fixed time horizon is traded off against the increased human workload created by false alarms that is, situations that would not develop into an actual …
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Representing semantic relatedness
… is represented by the relation strength over probabilistic distribution of terms across document collection; (2) the inter-term pair couplings, capturing the implicit relatedness between term pairs by considering the relation strength of their interactions with other term pairs on all possible …
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Probabilistic optimization of vibrational systems under stochastic excitation containing extreme forcing events
… (such as bimodality of the probability distributions, heavy tails, and non-trivial temporal correlations) caused by the nonlinear characteristics of the dynamics, the correlated (non-white noise) structure of the excitation, and the possibility of non-stationary forcing characteristics …
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Uncertainty analysis in ecological risk assessment modeling
A probabilistic approach employing Monte Carlo simulations for assessing parameter and risks as probabilistic distributions was used in an ecological risk assessment (ERA) model to characterize risk and address uncertainty. This study addresses the following sources of uncertainty: parameter inputs …
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Bilinear inverse problems with sparsity: Optimal identifiability conditions and efficient recovery
… above scenarios, if the bases or frames follow a probabilistic distribution specified in Chapter 2, the recovery is not only unique, but also stable against small perturbations in the measurements, under the same sample complexities. In previous work, we proposed studying the identifiability in …
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Predictable Real-Time Wireless Networking For Sensing And Control
… due to dynamic, uncertain link/path delays. The probabilistic nature of link/path delays makes the basic problem of computing the probabilistic distribution of path delays NP-hard, yet quantifying probabilistic path delays is a basic element of real-time routing and may well have to be executed …
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Evaluation of Adaptation Options to Flood Risk in a Probabilistic Framework
Probabilistic risk assessment (PRA) has been used in various engineering and technological fields to assist regulatory agencies, and decision-makers to assess and reduce the risks inherent in complex systems. PRA allows decision-makers to make risk-informed choices rather than simply relying on …
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Graphical SLAM for urban UAV navigation
… processing, and inference. First, we use a probabilistic graph, specifically a directed acyclic graph, to model the trajectory of a UAV. Nodes in the graph represent states of the UAV or GPS satellites; while edges represent relations between states created by sensor measurements. We then …
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Optimization of yard operations in maritime container terminals
… are not fully known in advance. For example, a probabilistic distribution of container departure orders, or approximate departure times (in the form of time windows) might be known. Another important efficiency metric, in addition to the number of relocations, is customer wait times during the …
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Influence of occupant's behaviour on indoor environmental quality and energy consumptions
… monitoring, is aimed at shifting towards a probabilistic modelling the occupant behaviour related to the control of indoor environment with respect to the energy-related issues. The goal is to determine users’ behavioural patterns describing user’s interaction with the building controls. The …
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Integrated supply chain design for sustainable and resilient development of biofuel production
… type and price of feedstock and energy), spatial distribution of demand, and transportation infrastructure (network, modes and cost). They are also interdependent and influenced by the configuration of a biofuel supply chain. As such, advanced decision tools and systems analysis are in urgent need …