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 7 of 7 for “"Inference Networks"”.
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On the Design and Analysis of Secure Inference Networks
<p>Parallel-topology inference networks consist of spatially-distributed sensing agents that collect and transmit observations to a central node called the fusion center (FC), so that a global inference is made regarding the phenomenon-of-interest (PoI). In this dissertation, we address two types …
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THE HOST-PATHOGEN INTERACTOME AND REGULATORY NETWORKS OF ASPERGILLUS FLAVUS PATHOGENESSIS OF ZEA MAYS: RESISTANCE IN MAIZE TO ASPERGILLUS EAR ROT AND TO AFLATOXIN ACCUMULATION
… (PiZeaM), 2) the development of co-expression networks for Z. mays and A. flavus from RNA-seq data, and 3) the development of causal inference networks depicting interactions between the host and the pathogen. PiZeaM is the genome-wide roadmap of protein-protein interactions that occur within …
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Adaptive Abstractions for Robust Hierarchical Manipulation Planning
… handle this partial observability, but online inference is computationally expensive. Instead, we propose to use an offline phase to learn an inference network that directly predicts a distribution over object properties that is consistent with the interaction history. We show that inference …
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Augmented Human Machine Intelligence for Distributed Inference
… deployment of smart devices and wireless sensor networks (WSNs), interactions of humans and machine data are everywhere. In numerous applications, humans are essential parts in the decision making process, where they may either serve as information sources or act as the final decision makers. For …
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A multi-level approach of gene expression data analysis to investigate translatome dynamics across multiple tissues, stages, and mouse models of SMA
… between genes at the translatome level. Causal-inference networks, coupled with differential network analysis, complemented the standard differential analysis by modeling how the fluctuations in reciprocal transcript-specific ribosome occupancy might influence each other. This allowed to detect …
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Reliable Inference from Unreliable Agents
<p>Distributed inference using multiple sensors has been an active area of research since the emergence of wireless sensor networks (WSNs). Several researchers have addressed the design issues to ensure optimal inference performance in such networks. The central goal of this thesis is to analyze …
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Distributed Inference and Learning with Byzantine Data
… in an increasingly networked world with sensing networks of varying shapes and sizes: the network often comprises of several tiny devices (or nodes) communicating with each other via different topologies. To make the problem even more complicated, the nodes in the network can be unreliable due to …