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 8 of 8 for “"Bayesian classifiers"”.
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Automated detection of multiple sclerosis lesions in magnetic resonance images of the human brain
… of the statistical minimum distance and Bayesian classifiers was compared to that of a symbolic decision tree learning algorithm. A version of this algorithm for the handling of noisy data was included in the comparative study. Each classifier performed at about the same level of …
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On the predictability of U.S. stock market using machine learning and deep learning techniques
… discriminant analysis, classification trees, Bayesian and neural networks were employed. The empirical findings revealed that the discriminant analysis classifiers, classification trees, Bayesian classifiers and penalized binary probit models demonstrate significant outperformance over the …
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Trophic State Monitoring Of Lakes And Reservoirs Using Remote Sensing
… settings were investigated for two meta-learner classifiers, three Bayesian classifiers and three decision tree classifiers. The Classification Via Regression yielded the best results when using large datasets, the all-but-one iteration setting, MODIS A1 individual bands as predictors, and …
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The n-tuple network: coping with sub-optimality
… model for any given data. We view RAMnets as classifiers and function approximators and try to determine how critical their lack of' universality and optimality is. In order to understand better the inherent. restrictions of the model, we review RAMnets showing their relationship to a number …
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Autonomous Navigation, Perception and Probabilistic Fire Location for an Intelligent Firefighting Robot
… fire algorithm was developed using Bayesian classifiers to identify fire features using thermal images. This algorithm was able to discriminate fire and smoke from thermal reflections and other hot objects, allowing the prediction of a more robust heading for the robot. To develop …
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Automatic human face detection in color images
… candidate verification, we developface/nonface classifiers based on the naive Bayesian model, and investigate three feature extraction schemes, namely intensity, projection on face subspace and edge-based. Techniques for improving face/nonface classification are also proposed, including …
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Automated isotope identification algorithms for low-resolution gamma spectrometers
… algorithms. To this end, a peak-based Bayesian classifier has been developed to perform automated isotope identification. This algorithm was constructed to mimic the manual identification that a spectroscopist would perform. This approach can handle challenges such as detector …
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Atomistic modelling of precipitation in Ni-base superalloys
… In the first part of this work we develop robust Bayesian classifiers to identify the $\gamma^{\prime}$ phase in large scale simulation boxes at high temperatures around 1500 K. We observe significant \gamma^{\prime} ordering in the simulations in the form of clusters of $\gamma^{\prime}$-like …