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 13 of 13 for “"Model Composition"”.
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Model Composition and Aggregation in Macromolecular Regulatory Networks
Mathematical models of regulatory networks become more difficult to construct and understand as they grow in size and complexity. Large regulatory network models can be built up from smaller models, representing subsets of reactions within the larger network. This dissertation focuses on novel …
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IntelliEdgent: device-server collaborative deep learning model composition for resource-efficient edge intelligence
Deep Learning models have achieved tremendous success lately towards analysing high-dimensional data like images, texts, audio, etc. Despite their phenomenal predictive performance, the high demands on computation resources (e.g., memory requirement is in the order of hundreds of megabytes for …
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Lagrangian relaxation for natural language decoding
… to employ increasingly sophisticated statistical models to improve performance on language tasks. However, oftentimes these more complex models come at the cost of expanding the search-space of the underlying decoding problem. In this dissertation, we focus on the question of how to handle this …
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Knowledge composition methodology for effective analysis problem formulation in simulation-based design
… process for VTMB problems? The knowledge composition methodology (KCM) presented in this dissertation answers this question by addressing the following research gaps: (1) the lack of formalization of the knowledge used by analysts in formulating simulation templates, and (2) the inability …
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Deep learning with very few and no labels
… training samples to learn its huge network model. Labeling a large dataset is labor-intensive, time-consuming, and sometimes requiring expert knowledge. In this research, we study the following important question: how to train deep neural networks with very few or even no labeled samples? …
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Bayesian computational models for inferring preferences
… of their plans might be inefficient. I develop models for learning the preferences of agents subject to false beliefs and to time inconsistency. I use probabilistic programming to provide a concise, extendable implementation of preference inference for suboptimal agents. Agents performing …
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A novel method to determine a national diesel emissions inventory
… does, however, preclude rapid change of the model composition and so analysis using the VEP data will be useful for some time to come. This VEP data was supplemented by studies commissioned by Mossgas and BPSouthern Africa and input to a so-called "emissions inventory" model. This is simply a …
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Load Modeling using Synchrophasor Data for Improved Contingency Analysis
… simulations using steady state and dynamic models of the system. The results from the contingency studies are only as accurate as the models of the grid components. The load components are generally the most difficult to model since they are controlled by the consumer. This study focuses on …
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JigCell Model Connector: Building Large Molecular Network Models from Components
… size and complexity of molecular network models makes them difficult to construct and understand. Modifying a model that consists of tens of reactions is no easy task. Attempting the same on a model containing hundreds of reactions can seem nearly impossible. We present the JigCell Model …
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Heinrich Schenker’s Early Approach to Form, 1895–1921: Implications for His Late Work and Its Reception
… down to Anton Bruckner through his studies in model composition, leading to Schenker himself. Chapter 2 presents Schenker’s early approach to form in a generative fashion, demonstrating how a single motive can grow into a large thematic group unified by a single key area or an economy of …
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Judgments of assertiveness: specific behavioral components
… This permitted the generation of individual models, for each judge, composed of those specific variables which accounted for the greatest percent of variance in overall assertiveness. This was felt to reflect the particular strategies or composition of each judge's observation of …
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Behavioural Model Fusion
In large-scale model-based development, developers periodically need to combine collections of interrelated models. These models may capture different features of a system, describe alternative perspectives on a single feature, or express ways in which different features alter one another's …
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Production of Compositional Analogues of Bone Based on Electrophoretically Deposited Mineralised Collagen Films
… engineering field. Recently, a new bone mineral model has been proposed such that the bone mineral platelets are composed of an apatitic core surrounded by a disordered surface environment, whose shape is maintained by citrate molecules which bridge the mineral platelets in the hydrated, …