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 26 for “"auxiliary data"”.
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Enriching models of natural language with auxiliary data
… of arbitrary tokens supplied as training data. Humans have a much richer notion of language, however. For one thing, they understand that language refers to objects aid actions in the real world, which enables them to use language to efficiently transmit instructions on how to accomplish …
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Subspace and graph methods to leverage auxiliary data for limited target data multi-class classification, applied to speaker verification
… and document classification, among others. Auxiliary data-sets, which contain a diverse sampling of non-target instances, are leveraged in this thesis using subspace and graph methods to improve classification where target data is limited. The auxiliary data is used to define a compact …
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Probing, Improving, and Verifying Machine Learning Model Robustness
… set comprises, on the one hand, a suite of new datasets that allow us to obtain a finer-grained understanding of model reliance on backgrounds. On the other hand, it involves 3DB, a framework that leverages photorealistic simulation, to probe model vulnerabilities to more varied distribution …
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DOUBLE SAMPLING FOR COARSE WOODY DEBRIS ESTIMATIONS FOLLOWING LINE INTERSECT SAMPLING
… and expensive. Double sampling incorporates auxiliary data that is positively correlated with the attribute of interest as a means of reducing sampling costs and/or increasing estimation precision. The present study investigated double sampling applications to the common CWD sampling …
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DOUBLE SAMPLING FOR COARSE WOODY DEBRIS ESTIMATIONS FOLLOWING LINE INTERSECT SAMPLING
… and expensive. Double sampling incorporates auxiliary data that is positively correlated with the attribute of interest as a means of reducing sampling costs and/or increasing estimation precision. The present study investigated double sampling applications to the common CWD sampling …
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DQTunePipe: a Set of Python Tools for LIGO Detector Characterization
… LIGO's interferometers are in operation, many auxiliary data channels monitor and record the state of the instruments and surrounding environmental conditions. Analyzing these channels allows LIGO scientists to evaluate the quality of the data collected and veto data segments of poor quality. A …
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Spatial-Temporal Multivariate Time Series Forecasting Using Graph Neural Networks, with an Application to Traffic Speed Prediction
… and temporal dependencies inherent in the data. This dissertation introduces a novel architecture based on Graph Neural Networks that addresses the challenges of time series prediction, while also providing unique insights through decomposition of model outputs in the spatio-temporal space. …
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Instance-Optimized Database Indexes and Storage Layouts
For any modern database system, its physical design, which is composed of both the storage layout of the data itself and auxiliary data structures such as indexes, is a critical piece of maintaining high performance in the face of increasing data volumes. Existing physical design components are …
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Sweep-Line Extensions to the Multiple Object Intersection Problem: Methods and Applications in Graph Mining
… can effectively inform a number of spatial data mining methods and can provide support in decision making for a variety of critical applications. The state-of-the-art approach for addressing such problems resorts to an algorithmic paradigm, collectively known as the sweep-line or plane sweep …
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Robust and interpretable high-dimensional machine learning for predictive cancer medicine
… from complex, high-dimensional biological data is challenging and often relies upon dimensionality reduction techniques. These methods reveal structure within data, potentially exposing meaningful biological patterns. In predictive cancer medicine, it is common to employ linear …
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Decision Support for Operational Plantation Forest Inventories through Auxiliary Information and Simulation
… of inventory estimates compared with ground data alone. Further investigation found that reduced density lidar point clouds and lower resolution elevation models could be used to generate estimates with similar increases in precision. Individual tree detection estimates of stand density were …
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Modélisation de l'érosion hydrique en milieu semi-aride de forte énergie de relief à partir de données de télédétection application à la Bolivie
… using remote sensing and morphometric data: MEH-SAFER (Modèle d'Érosion Hydrique en milieu Semi-Aride de Forte Energie de Relief). MEH-SAFER is based on the Lamachère and Guillet model (MLG) (Burkina Faso) to the Lake Laka-Laka drainage basin (Bolivia). While preserving the same …
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Efficient structure search in large data sets
… there has been rapid increase in the amount of data being generated and published; therefore there is an emerging need for efficiently managing and processing large data sets. Among the existing problems, structure search is an important topic with many real applications, such as substructure …
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Evidence from innovation: Reconstructing disharmonic headedness for Proto-Indo-European
… of my predecessors is looking at the various auxiliary constructions innovated across the Indo-European (IE) daughter languages instead of focusing exclusively on reconstructible lexical verbs. This approach allows me to more accurately triangulate the location of inflection in the syntax …
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Comparing Dual Drainage Model (DDM) with SWMM: a case study in John Street watershed, Champaign IL
… 3.14-MB, and the program is easy to set up with auxiliary data from Geographic Information System (GIS). However, there was only one case study and no assessment on model performance. Therefore, in this study a 458-acre dual drainage system in John Street watershed was assessed by DDM, comprising …
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Essays on Decision Making Under Uncertainty
… the evolution of cooperation. In Chapter 3, "Data-Driven Optimization: A Reproducing Kernel Hilbert Space Approach," we present two methods, based on regression in reproducing kernel Hilbert spaces, for solving an optimization problem with uncertain parameters for which we have historical …
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Investigation of High Latitude Ionospheric Irregularities utilizing Modeling and GPS Observations
… in Antarctica, improving the coverage of GNSS data availability. We explain in detail the method developed for analyzing high rate (typically 50 Hz) data from a novel dual-frequency Global Positioning System (GPS) receiver called Connected Autonomous Space Environment Sensor (CASES). We also …
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A subspace approach to accelerated cardiovascular magnetic resonance imaging
… comprises developments in image modeling, data acquisition, and image reconstruction. A spatiotemporal image model is designed to represent the particular subspace structure of cardiovascular images. The data acquisition development is composed of: a) a sampling strategy which allows …
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Essays on the Non-market Valuation and Optimal Control of Bio-invasions in Urban Forest Resources
… from various locations in the U.S. along with auxiliary data of county-level tree cover to investigate the relationship between tree cover and implicit-price estimates for residential properties. The study found that on average 35 percent and 40 percent tree cover respectively at property-level …
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Computational lyricology: Quantitative approaches to understanding song lyrics and their interpretations
… study first examines whether the user-generated data provide quality topic information, and then proposes a Lyric Topic Diversity Score (LTDS), a lyric complexity metric based on the diversity of the topics found in users' interpretations. The assumption behind this approach is that complex song …
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