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 112 for “"Model fitting"”.
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Methods for Optimal Model Fitting and Sensor Calibration
The problem of fitting models to measured data has been studied extensively, not least in the field of computer vision. A central problem in this field is the difficulty in reliably find corresponding structures and points in different images, resulting in outlier data. This thesis presents …
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Detection of Event Related Potentials by Time Series Model Fitting Techniques
Made available in DSpace on 2014-12-13T18:21:37Z (GMT). No. of bitstreams: 1 7616140.pdf: 5134377 bytes, checksum: 10e41c14dc3d226c8f1be9d70fba350a (MD5) Previous issue date: 1976
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Lung carcinogenesis modeling: Resampling and simulation approach to model fitting, validation, and prediction
… to use a two-stage clonal expansion (TSCE) model to evaluate the effects of smoking on initiation and promotion of lung carcinogenesis. The TSCE model is traditionally fit to prospective cohort data. A new method has been developed that allows reconstruction of cohort data from the …
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Quantitative modeling of spatiotemporal systems: Simulation of biological systems and analysis of error metric effects on model fitting
… signaling and genetic interactions. Models provide means to evaluate "emergent" properties of systems sometimes inaccessible by reductionist approaches, making them test beds for biological inference and technological refinement.^ The complexity and interconnectedness of biological …
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3D approximation of scapula bone shape from 2D X-ray images using landmark-constrained statistical shape model fitting
… using landmark-constrained statistical shape model fitting. First, X-ray stereophotogrammetry was used to reconstruct the 3D coordinates of points located on 2D X-ray images of the scapula, acquired from two perspectives. A suitable calibration frame was used to map the image coordinates to …
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Genomewide Selection in Apple: Prediction and Postdiction in the University of Minnesota Apple Breeding Program
… fruit traits by testing an additive prediction model, a model fitting heterozygote effects, and a model fitting fixed effects for major QTL. The second aim of this research was to assess the utility of genomewide selection for fruit traits in the University of Minnesota apple breeding program. …
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3-D facial expression representation using statistical shape models
… space vector (SSV) of the statistical shape model (SSM); the other is based on the SSV of the B-spline statistical shape model (BSSM). The first proposed method uses the SSV of the SSM as a significant feature for representing facial expressions embedded in 3-D facial surfaces. In order to …
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Genetics of Experience: Genetically Sensitive Approaches to Measuring Childhood Environment
… Early Development Study (TEDS). Bivariate twin model fitting showed a significant genetic component linking children’s heritable experience of the chaotic home and their academic achievement. Genes confound a previously assumed environmental effect. The continuous moderation model revealed …
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Modelling sea surface temperature using generalized additive models for location scale and shape by boosting with autocorrelation
… that influence the climate system of the earth. Modelling of and prediction from the SST data are challenging due to the fact that gaps in the data lead to incomplete information over time. Generalized additive models by boosting with location scale and shape (gamboostLSS) can be applied to …
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A deep learning algorithm for contour detection in synthetic 2D biplanar X-ray images of the scapula: towards improved 3D reconstruction of the scapula
… from X-ray images using statistical shape models (SSM) provides a cost-effective way of increasing the diagnostic utility of two-dimensional (2D) X-ray images, especially in low-resource settings. The landmark-constrained model fitting approach is one way to obtain patient-specific models …
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Modeling Strategies for Large Dimensional Vector Autoregressions
The vector autoregressive (VAR) model has been widely used for describing the dynamic behavior of multivariate time series. However, fitting standard VAR models to large dimensional time series is challenging primarily due to the large number of parameters involved. In this thesis, we propose two …
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Revolutionizing Time Series Data Preprocessing with a Novel Cycling Layer in Self-Attention Mechanisms
… nature of time series data, impacting predictive model accuracy. By integrating a cycling layer, this thesis aims to enhance the ability of models to recognize and utilize cyclical patterns within datasets, exemplified by the Jena Climate dataset from the Max Planck Institute for Biogeochemistry. …
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Statistical Analysis of Gene Expression Profile: Transcription Network Inference and Sample Classification
… to develop statistical methods for model fitting and comparison of biochemical networks, and eventually to advance our capability to understand the principles of biological processes at the system level.
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A system for storage and analysis of machine learning operations
… iterative process when building machine learning models. This process includes operations like feature selection, cross validation, model fitting, and evaluation, which are repeated until a sufficiently accurate model is produced. This thesis describes ModelDB Server and the ModelDB Spark Client, …
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Variational Approximation for Complex Regression Models
… has resulted in the need for more flexible models and fast computational approximations. My thesis reflects these themes by considering some very flexible regression models and developing fast variational approximation methods for fitting them under a Bayesian framework. Models considered …
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Agreement Webs
… we propose and study a nonlinear hierarchical model. The model includes a latent propensity-to-disease effect for each item (e.g. patient mammogram, MRI, radiograph, ultra sound, etc) and two effects for each rater, called bias and diagnostic skill. For a fixed rater, using a general …
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The use of stellar occultations to study the figures and atmospheres of small bodies in the outer solar system
… and the proper treatment of grazing chords in model fitting. The 2005 July 11 C313.2 stellar occultation by Charon was analyzed. Occultation timings from the three published data sets were combined to accurately determine the mean radius of Charon: 606.0 ± 1.5 km. The analysis indicates that a …
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Modelling Locally Changing Variance Structured Time Series Data By Using Breakpoints Bootstrap Filtering
… construction and prediction in parametric models. Here, we assume several non-linear time series with additive noise components, and the model fitting is proposed in two stages. The first stage identifies the density using all the clusters information, without specifying any prior knowledge …
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Divide and recombine for large complex data: The subset likelihood modeling approach to recombination
… Here we study D&R methods for likelihood-based model fitting. We introduce a notion of likelihood analysis and modeling. We divide the data and fit a likelihood model on each subset. The fitted model is characterized by a set of parameters much smaller than the subset data size, but retains as …
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Porcine rotavirus adsorption to 24 salad vegetables and sanitization by free chlorine
… the epicuticular surfaces. Partial least square model fitting results suggest that alkanes, ketones, fatty acids, alcohols, contact angle and surface roughness together can explain 60% of the variation in viral adsorption. The results suggest that various fresh produce surface properties need to …
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