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 6 of 6 for “"Sequential data analysis"”.
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Deep learning in sequential data analysis
… to look into deep learning based methods for sequential data such as videos and medical image sequences. With the extra information from its additional sequential dimension, sequential data naturally raises an important and challenging question: How can we effectively and efficiently integrate …
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Human Resource Management and Black Teachers’ Employee Experience in K-12 Urban Public Schools
<p>National teacher data indicate that publicly funded schools in the United States struggle to retain Black teachers in high-need urban areas and in comparison to other groups (Carver-Thomas & Darling Hammond, 2017). This qualitative investigation employed case study methodology. The case study …
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Information-centric Algorithms for Feature Extraction in High-Dimensional Sequential Data
Hidden Markov Models (HMMs) are a cornerstone of sequential data analysis, offering a robust framework for modeling observable events influenced by hidden internal states. With applications spanning speech recognition, video analysis, bioinformatics, and financial time series, HMMs enable the …
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Modeling Temporal and Spatial Data Dependence with Bayesian Nonparametrics
… to help infer patterns, clusters or segments in data. In traditional nonparametric mixture models, observations are usually assumed exchangeable, even though dependence often exists associated with the space or time at which data are generated.</p> <p>Focused on model-based clustering and …
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Participation and triangulation: learning from non-institutional international Architecture Live Projects through a comparative case approach
… Mixed methods were utilised for concurrent data collection during and after each case study — participant observation, semi-structured interviews and post-occupancy participatory walking probe. Following this, three phases of sequential data analysis were employed to measure, contextualise, …
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Sequential methodology and applications in sports rating
Sequential methods aim to update beliefs about a set of parameters given new blocks of data that arise in sequence. Early research in this area was motivated by the case where the blocks of data arise in time and as a result of observing an underlying dynamical system, but an important modern …