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 15 of 15 for “"Bayesian reasoning"”.
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Interactive visualizations to improve Bayesian reasoning
Proper Bayesian reasoning is critical across a broad swath of domains that require practitioners to make predictions about the probability of events contingent upon earlier actions or events. However, much research on judgment has shown that people who are unfamiliar with Bayes’ Theorem often …
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Developing an early warning system for congestive heart failure during a Bayesian reasoning network
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2001.
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Validating the predictions of case-based decision theory
… (1995), formalises this type of analogical reasoning. While CBDT is intuitively appealing, only a few experimental and empirical studies have attempted to validate its predictions. This thesis reports two laboratory experiments and an empirical study that attempt to confirm the predictive …
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Computability, inference and modeling in probabilistic programming
… and noise, both of which are common in Bayesian hierarchical modeling. This theoretical work bears on the development of probabilistic programming languages (which enable the specification of complex probabilistic models) and their implementations (which can be used to perform Bayesian …
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Reasoning for Public Transportation Systems Planning: Use of Dempster-Shafer Theory of Evidence
… develops a new decision-making approach, Belief Reasoning method, for evaluating public transportation systems in the planning process. The proposed approach applies a reasoning map to model how experts perceive and reason transportation alternatives to lead to the project's goals. It applies the …
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Computational recognition and comprehension of humor in the context of a general error investigation system
… different methodologies such as simulation, Bayesian reasoning, neural nets, or symbolic reasoning can all interact, share findings of interest, and suggest reasons for each other's issues through this system. This system of Experts can identify the resolvable narrative laws that drive humor, …
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Bayesian random forests for high-dimensional classification and regression with complete and incomplete microarray data
… RF by providing a probabilistic framework using Bayesian reasoning. The modification comprises of two main modelling problems: high-dimensionality and missing data. These problems were extensively studied within the scope of classification (binary and multi-class) and regression (linear and …
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Automatic Integration and Differentiation of Probabilistic Programs
… algorithms, (2) the PClean system for automated Bayesian reasoning about relational data, and (3) the GenLM system for controllable generation from language models. We find that our techniques enable these systems to scale to a variety of complex, real-world problems, and to achieve …
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Bayesian Probabilistic Reasoning Applied to Mathematical Epidemiology for Predictive Spatiotemporal Analysis of Infectious Diseases
Abstract Probabilistic reasoning under uncertainty suits well to analysis of disease dynamics. The stochastic nature of disease progression is modeled by applying the principles of Bayesian learning. Bayesian learning predicts the disease progression, including prevalence and incidence, for a …
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ADAPTING TO THE IMPACTS POSED BY CLIMATE CHANGE ON TRANSPORTATION SYSTEMS
… an innovative decision aiding tool: the Fuzzy Bayesian Reasoning (FBR) model. This hybrid model is capable of tackling the existing issues in risks assessment, such as unavailability or incompleteness of climate risk data, synthesis of inconsistent risk and costs expressions and challenges in …
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Approximate Inference: New Visions
… confidence. Powered by the rules of probability, Bayesian inference is the gold standard method to perform coherent reasoning under uncertainty. It is generally believed that intelligent systems following the Bayesian approach can better incorporate uncertainty information for reliable decision …
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Risk Assessment and Management of Petroleum Transportation Systems Operations
… In the second phase, a Fuzzy Rule-Based Bayesian Reasoning (FRBBR) and Hugin software are applied in the new context of PTSs to assess and prioritise the local PTSs failures as one complete system. The third phase uses Analytic Hierarchy Process (AHP) in order to determine the weight of …
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Analytical Quality Control in Shipping Operation Using Six Sigma Principles
… the Analytical Hierarchy Process (AHP) and Fuzzy Bayesian Reasoning (FBR) approaches to increase the accuracy of failure identification while not compromising the easiness and visibility of the Risk Priority Number (RPN) method. Decision Making Trial and Evaluation Laboratory (DEMATEL) and …
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Hierarchical multi-label classification for protein function prediction going beyond traditional approaches
… sources is addressed with a novel Hierarchical Bayesian iNtegration algorithm, HiBiN, a general framework that uses Bayesian reasoning to integrate heterogeneous data sources for accurate gene function prediction. The system formally uses posterior probabilities to assign class memberships to …
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Collective belief models for representing consensus and divergence in communities of Bayesian decision-makers
Bayesian belief aggregation is the process of forming a consensus model from the probabilistic beliefs of multiple individuals. Preference aggregation attempts to find an optimal solution for a population considering each individual's beliefs, desires and objectives. Belief and preference …