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 9 of 9 for “"Sequence classification"”.
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Debt detection and debt recovery with advanced classification techniques
… along the time, which can be regarded as a sequence. Based on the experience of debt detection experts, there are usually some patterns in the sequence of activities of customers who commit debts. The patterns indicating the customers’ intention to be overpaid can thus be used to discover or …
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Multi-character prediction using attention
… to localize and classify characters in a sequence in a given image. Our approach combines spatial soft-attention with attention regularization and learns “where-to-look” to carry out the sequence classification task. The image is first passed through a Convolutional Neural Network (CNN) …
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CLASSIFYING PEROXIREDOXIN SUBGROUPS AND IDENTIFYING DISCRIMINATING MOTIFS VIA MACHINE LEARNING
… far behind the exponential growth in biological sequence databases. In this thesis, I present our recent development of machine learning methods for high-throughput, accurate, sequence-based functional annotation. Chapter 1 describes the biological and computational background of this study. …
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State discovery for autonomous learning
… tasks; introduces the idea of incremental classification with utility, margin and boundary compression rules; develops a technique of sequence classification with Support Vector Machines; introduces an idea of weak transduction and offers an EM-based algorithm for solving it; proposes a …
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Medical Engineering and Medical Physics: Metagenomic Sequencing for Viral Diagnostics and Discovery
… Here we benchmark the performance of metagenomic sequence classification methods, controlling for database differences by using a uniform database. Additionally, we developed an integrated metagenomic NGS (mNGS) computational pipeline incorporating stringent negative controls for the primary …
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Advances in Representation and Learning of Temporal Event Sequences
… and learning of two types of temporal event sequences. The first type is a sequence of interval-based events, called an e-sequence, where every event can have a duration, and the second type is a sequence of pointbased events, where events have no durations. For interval-based event …
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An integrated performance model learning and planning approach for optimal infrastructure facility maintenance under partial observability
… also shown that given a set of new observation sequences gathered after the model learning, each of the sequences or the entire set of sequences can be assigned the model that gives the least log-likelihood on that sequence or the set. This can help in classifying the facility deterioration into …
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Structured video content analysis : learning spatio-temporal and multimodal structures
… share certain shapes and/or colors in image; sequences of frames exhibit temporal structure, e.g., dynamic events such as jumping and running have a certain chronological order of frame occurrence; and when combined with audio and text, there is multimodal structure, e.g., human behavioral …
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The application of Machine Learning for Early Detection of At -Risk Learners in Massive Open Online Courses
… considered the dropout issue in the form of a sequence classification problem, such works only address a limited set of retention factors. They typically consider the learners’ activities as a sequence of weekly intervals, neglecting important learning trajectories. In this PhD thesis, my goal …