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Skip to Search Results- 1Bullot, Nicolas J.
- 1Buterman, Jan L.
- 1Canlas, Gino Ruggiero L.
- 1Farhangfar, Alireza
- 1Graves, Daniel
- 1Lu, Yaojie
- 3Department of Chemical and Materials Engineering
- 2Department of Computing Science
- 2Department of Electrical and Computer Engineering
- 1Department of Educational Policy Studies
- 1Department of History and Classics
- 1Department of Mathematical and Statistical Sciences
- 2Huang, Biao (Chemical and Materials Engineering)
- 1Adams, Catherine (Department of Secondary Education)
- 1Biao Huang (Chemical and Materials Engineering)
- 1Braun, Willi (History and Classics and Religious Studies)
- 1Chen, Tongwen (Electrical and Computer Engineering)
- 1Forbes, Fraser (Chemical and Materials Engineering)
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Fall 2015
This study is about a series of operational acts of identification, such as interpretations, categorizations, representations, classifications, through which past materials have acquired their meaning and therefore identity. Furthermore, this meaning-making will be demonstrated always to be...
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Development of Partially Supervised Kernel-based Proximity Clustering Frameworks and Their Applications
DownloadSpring 2011
The focus of this study is the development and evaluation of a new partially supervised learning framework. This framework belongs to an emerging field in machine learning that augments unsupervised learning processes with some elements of supervision. It is based on proximity fuzzy clustering,...
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Fall 2013
This thesis is concerned with identification of switched linear systems (SLSs), which is an important part in model-based control. There are a large number of physical systems that can be represented or approximated by SLSs. Therefore, the study of SLSs has attracted much attention over the past...
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Spring 2013
Many machine learning algorithms learn from the data by capturing certain interesting characteristics. Decision trees are used in many classification tasks. In some circumstances, we only want to consider fixed-depth trees. Unfortunately, finding the optimal depth-d decision tree can require time...
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Fall 2015
This dissertation first introduces the concepts of robust active learning (also called optimal experimental design in statistics), and the possible advantages of it over the traditional passive learning method. Then a general regression problem with possibly misspecified models is presented, and...
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Robust Probabilistic Principal Component Analysis Based Modeling with Gaussian Mixture Noises
DownloadFall 2021
Most of the industrial plants are heavily instrumented with a large number of sensors and analyzers to provide the data needed for process control and monitoring purposes. However, online and fast-rate measurements are not always available due to restricted availability and/or reliability of...
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Spring 2015
Image texture is defined as visual patterns appearing in images. The powerful perceptive capability of texture features has made texture analysis a major research topic in computer vision and image processing. Texture features are used to detect defective products in factories, to understand...
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Sacred Space and Community Identities: Sanctuaries in Broader Thessaly from the Archaic to the Early Roman Periods
DownloadSpring 2021
This study examines the roles of sacred spaces in Thessaly as agents in the formation, maintenance, and negotiation of group identities in Thessaly from the Archaic period until the beginning of the Roman Imperial Period in Greece. I demonstrate that the individuals who formed the communities of...
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Fall 2013
State inference and identification of discrete-time, non-linear, stochastic state-space models (SSMs) are considered here. A novel sequential Monte Carlo (SMC) based Bayesian method for simultaneous on-line state inference and identification of non-linear SSMs is proposed. Extension of the method...
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Fall 2014
In this thesis, time-varying behaviour, nonlinearity and switching dynamics are generally treated as multi-modal behaviour. Two multi-model modelling techniques, i.e., the linear parameter varying (LPV) technique and the switched modelling technique, are investigated to model the multi-modal...