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 12 of 12 for “"Joint Inference"”.
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Joint inference in pragmatic reasoning
… utterance is not fixed independent of pragmatic inference; rather, pragmatic inference partially determines an utterance's semantic content. We show how semantic inference can be realized as an extension to the Rational Speech Acts framework [36]. The addition of lexical uncertainty derives both …
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Bayesian inference of stochastic dynamical models
A new methodology for Bayesian inference of stochastic dynamical models is developed. The methodology leverages the dynamically orthogonal (DO) evolution equations for reduced-dimension uncertainty evolution and the Gaussian mixture model DO filtering algorithm for nonlinear reduced-dimension state …
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Reusing code by reasoning about its purpose
… The backend, called ProcedureSpace, reasons jointly over both the words that people used to describe code fragments and syntactic features derived from static analysis of that code to enable searching for code given purpose descriptions or vice versa. It uses a technique called Bridge …
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Popular event analysis in social communities
… the problem of topic diffusions by studying the joint inference of topic diffusion and evolution in social communities, where contents and linkages in user-generated text information, together with social network structures, are used to facilitate the identification of topic adoption, the …
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Towards realizing the internet-of-things vision : in-body, homes, and farms
… more robust to failures, enables more accurate inference, and reduces deployment costs. Second, we build a formal model that embeds contextual information about the environment into the inference process and allows heterogenous devices to perform joint inference that is more accurate and robust …
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Generative modeling of the tumor microenvironment : deconvolution, completion, and integration
… transcriptional variation, enabling joint inference of cell-type proportions, tissue organization, and spatial transcriptional programs. To address incompleteness in biological data, we develop Multi-Channel Diffusion (MCD) and its extension DiffuseMRI, which completes data by …
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Sampled ancestors and dating in Bayesian phylogenetics
… morphological and temporal fossil data) in one joint inference which contrasts with the sequential inference of the calibration methods. I apply total-evidence dating which allows sampled ancestors to a penguin dataset to reveal a very recent (compared to previous estimates) crown penguin …
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Automated methods for text correction
… among error types and addresses these via joint learning and joint inference. The systems and techniques described in this thesis are evaluated empirically and competitively in the context of several shared tasks, where they have demonstrated superior performance. In particular, our system …
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A fully Bayesian approach to uncertainty quantification of groundwater models
… study. In the real-world case study, Bayesian inference is facilitated using high performance computing and fast surrogate models (based on machine learning technique) as a substitute for the computationally expensive groundwater model. We demonstrate in the case studies that when input error …
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Multilingual multitask joint neural information extraction
… for information extraction tasks and build a joint neural architecture that performs multiple IE tasks within a single model. We first focus on the generality of IE models. As most existing neural models use word embeddings as input features, they are sensitive to the quality of word …
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Bayesian modelling of nuclear fusion experiments
… a general framework for scientific modelling and inference is introduced and applied to nuclear fusion experiments in order to provide consistent inference solutions given multiple heterogeneous data sets. Fusion plasmas are complex physical systems, in which charged particles are confined by the …
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Information extraction for clinical narratives
… mention detection and coreference resolution. A joint formulation for these two tasks has been presented in this thesis. Along with this, there is also a discussion regarding joint formulation for finding the mention types together. Soft constraints have been used while formulating the inference …