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 213 for “"network data"”.
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Machine learning for network data
Contains fulltext : 137300.pdf (Publisher’s version ) (Open Access)
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Statistical inference on network data
Networks arise from modeling complex systems in various fields, such as computer science, social science, biology, psychology and finance. Understanding and analyzing networks help us better understand these complex systems and extract useful information. In this dissertation, we study problems on …
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Estimation and Inference for Network Data
Networks play a key role in many scientific domains. In this thesis, we analyze several important questions in network analysis. The first question we analyze concerns how to understand latent structure in networks. Specifically, we propose a method that estimates the latent type, dimension, and …
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Subsampling based inference for network data
Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2026-08-01
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Statistical methods for indirectly observed network data
Social networks have become an increasingly common framework for understanding and explaining social phenomena. Yet, despite an abundance of sophisticated models, social network research has yet to realize its full potential, in part because of the difficulty of collecting social network data. In …
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Database partitioning strategies for social network data
… prototyped and benchmarked two different data partitioning strategies for social network type workloads. The first strategy takes advantage of the heavy-tailed degree distributions of social networks to optimize the latency of vertex neighborhood queries. The second strategy takes …
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Optimizing network data movement in server class microprocessors
Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2025-12-01
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Leveraging expression and network data for protein function prediction
… predictions by building new kernels from the data that are used by GOstruct. To do this, I find key representations of the data that help define what kernels perform best on the variety of data types. I apply this methodology to function prediction in two model organisms, Saccharomyces …
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UniNet: accelerating the container network data plane in IaaS clouds
… savings and agility reasons despite the added network overhead. This overhead, stemming from dual network tunneling at the VM and container levels, degrades performance. To address this, we present UniNet, a SmartNIC-based solution that offloads container-level network tunneling. We designed …
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Learning commonsense human-language descriptions from temporal and spatial sensor-network data
… however, is the description of these sense data in meaningful human-language. This is an important problem that appears across domains ranging from organizational security surveillance to individual activity journaling. Previous models of activity recognition pigeon-hole descriptions into …
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Modeling player self-representation in multiplayer online games using social network data
… games are now often integrated with social networks that provide social contexts in which player-to-player interactions take place, such as conversation and trading of virtual items. Building upon a theoretical framework based in machine learning and cognitive science, I present results from …
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New algorithm for neural network data discrimination applied to Markarian 421 high energy gamma rays
A new neural network learning algorithm, called the Umbrella Algorithm, is developed and analysed. Its generalization, which does not exhibit over-specialisation, is observed in the EXOR problem and in an artificial data discrimination (Toy Data) problem. The learning time is found to be about 1/15 …
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Dimension reduction methods for quantifying local variable importance and the statistical analysis of network data
Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2024-08-01
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Mutual information: inferring tie strength and proximity in bipartite social network data with non-metric associations
… between individuals from bipartite social network data with non-metric associations. Unlike network datasets with explicit links between nodes, bipartite networks provide only implicit indications of the probable existence of connections. Therefore, as a measure of the amount of information …
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Seasonal and spatial structure of the gravity waves and vertical winds over the central USA derived from the NOAA Profiler Network data
Data from the National Oceanic and Atmospheric Administration wind profiling radar network for the period 2002 2005 were used to investigate the effects of precipitation, topography and gravity waves on the measurements of winds by wind profilers, and to study the climatology and sources of …
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Using the common information model for power systems as a framework for applications to support network data interchange for operations and planning
… of a power system used primarily as a data exchange format for power system operational control systems and as a common semantic model to facilitate enterprise application integration. The CIM has the potential to be used as much more than an intermediary exchange language and this …
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