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 “"low-rank matrix factorization"”.
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Combinatorial aspects of low-rank matrix factorization and two applications in bioinformatics
… mining applications we need to write a given matrix Y as a low-rank product Y = AX. Both matrices A and X have to be determined and we assume that from the specifics of the application we can derive some constraints for A and X. In general, there are different factorizations that approximate a …
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Pattern extraction and clustering for high-dimensional discrete data
We explore connections of low-rank matrix factorizations with interesting problems in data mining and machine learning. We propose a framework for solving several low-rank matrix factorization problems, including binary matrix factorization, constrained binary matrix factorization, weighted …
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Predicting NBA games with matrix factorization
… the methods I use to predict NBA games using matrix factorization. Matrix factorization is popular through the Netflix recommendation problem, but in general, one can apply it to data that are best modeled as the result of pairwise interaction. My thesis contains three parts. First, I explain …
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A Study of Machine Learning Approaches for Biomedical Signal Processing
… measures. We then discuss fused regularization matrix factorization, a popular low-rank matrix factorization framework with similarity and/or biological regularization, which is extendable to integrating multi-omics data such as gene expressions or clinical variables. We further explore the …
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Models and Algorithms for Performance Prediction and Course Recommendation in Higher Education
… that are associated with academic success, and allow for suitable interventions. The application of these models in a higher education institution can improve advising and degree planning. The objective of this thesis is to develop methods that will support students to make informed decisions …
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Consistent community detection in uni-layer and multi-layer networks
… modularity score and (3) based on spectral and matrix factorization methods. In Chapter 2 we consider two random graph models for community detection in multi-layer networks, the multi-layer stochastic block model (MLSBM) and a model with a restricted parameter space, the restricted multi-layer …