Index Catalog // ScholarsArchive@OSU

Improving and Understanding Deep Models for Natural Language Comprehension

Creator:: Ghaeini, Reza
Abstract:: Natural Language Comprehension is a challenging domain of Natural Language Processing. To improve a model’s language comprehension/understanding, one approach would be to enrich the structure of the model to enhance its capability in learning the latent rules of the language. In this dissertation, we will ﬁrst introduce several deep models...
Resource Type:: Dissertation
Full Text:: . Prasad Tadepalli, Dr. Liang Huang, Dr. David Hendrix, and Dr. Kipp Shearman, for all of their invaluable

Representationally Robust and Scalable Learning over Relational Databases

Creator:: Picado Leiva, Jose Manuel
Abstract:: Learning novel concepts from relational databases is an important problem with applications in several disciplines, such as data management, natural language processing, and bioinformatics. For a learning algorithm to be effective, the input data should be clean and in some desired representation. However, real-world data is usually heterogeneous – the...
Resource Type:: Dissertation
Full Text:: : Alan Fern, David Maier, Prasad Tadepalli, and Hector Vergara. Their insightful comments helped this

Machine learning in engineering : techniques to speed up numerical optimization

Creator:: Cerbone, G. (Giuseppe)
Abstract:: Many important application problems in engineering can be formalized as nonlinear optimization tasks. However, numerical methods for solving such problems are brittle and do not scale well. For example, these methods depend critically on choosing a good starting point from which to perform the optimization search. In high-dimensional spaces, numerical...
Resource Type:: Dissertation
Full Text:: . Gordon Reistad was always available for suggestions as the Graduate School Representative. David Ullman

Microstructure of radiation damage in the uranium film and its backing materials irradiated with 136 MeV 136Xe+26, Microstructure of radiation damage in the uranium film and its backing materials irradiated with 136 MeV ¹³⁶Xe⁺²⁶

Creator:: Sadi, Supriyadi
Abstract:: Microstructure changes in uranium and uranium/metal alloys due to radiation damage are of great interest in nuclear science and engineering. Titanium has attracted attention because of its similarity to Zr. It has been proposed for use in the second generation of fusion reactors due to its resistance to radiation-induced swelling....
Resource Type:: Dissertation
Full Text:: facilities during this thesis project. I would like to thank Dr. Andrew C. Klein and Dr. David M. Hamby for

An Information Modeling Framework for Support of Sustainable Manufacturing System Design Decision Making

Creator:: Shankar Raman, Arvind
Abstract:: Manufacturing technology has continuously evolved and advanced over the past century; this has led to an increase in the production of consumer and industrial goods driven by simultaneous growth in population and wealth. Despite the resulting economic and labor growth, environmental impacts of manufacturing have increased dramatically due to the...
Resource Type:: Dissertation
Full Text:: Hoyle, Dr. David Porter, Dr. Prasad Tadepalli, who provided useful insights and recommendations during

Variational Satisfiability Solving

Creator:: Young, Jeffrey M.
Abstract:: Over the last two decades, satisfiability and satisfiability-modulo theory (SAT/SMT) solvers have grown powerful enough to be general purpose reasoning engines throughout software engineering and computer science. However, most practical use cases of SAT/SMT solvers require not just solving a single SAT/SMT problem, but solving sets of related SAT/SMT problems....
Resource Type:: Dissertation

Using Change Representations to Analyze Properties of Variational Software

Creator:: Wang, Xiangyu
Abstract:: Appropriate representations of variational software simplify the analysis of their properties.This thesis proposes tailored representations of two kinds variational softwares: difference files of merge commits in Git and feature models. For the former, we use the Choice Edit Model, which is based on the choice calculus, to represent changes introduced...
Resource Type:: Masters Thesis

Evaluation functions in aerial image segmentation

Creator:: Langford, William T.
Abstract:: Remote sensing is the most practical way to acquire large amounts of land cover data for monitoring and understanding environmental change, so it is important to be able to map land cover from imagery. Maps defining land cover patches as polygons rather than pixels greatly improve processing efficiency in models...
Resource Type:: Dissertation
Full Text:: problem. As David Man noted in his landmark book on vision (Man, 1982, p.16): 'The common and almost

Improving automated email tagging with implicit feedback

Creator:: Sorower, Mohammad Shahed
Abstract:: Machine learning systems are generally trained offline using ground truth data that has been labeled by experts. However, these batch training methods are not a good fit for many applications, especially in the cases where complete ground truth data is not available for offline training. In addition, batch methods do...
Resource Type:: Dissertation

A Benchmarking Study of Unsupervised Anomaly Detection Algorithms

Creator:: Emmott, Andrew F.
Abstract:: It is common practice in the unsupervised anomaly detection literature to create experimental benchmarks by sampling from existing supervised learning datasets. We seek to improve this practice by identifying four dimensions important to real-world anomaly detection applications --- point difficulty, clusteredness of anomalies, relevance of features, and relative frequency of...
Resource Type:: Masters Thesis

ScholarsArchive@OSU

Improving and Understanding Deep Models for Natural Language Comprehension

Representationally Robust and Scalable Learning over Relational Databases

Machine learning in engineering : techniques to speed up numerical optimization

Microstructure of radiation damage in the uranium film and its backing materials irradiated with 136 MeV 136Xe+26, Microstructure of radiation damage in the uranium film and its backing materials irradiated with 136 MeV ¹³⁶Xe⁺²⁶

An Information Modeling Framework for Support of Sustainable Manufacturing System Design Decision Making

Variational Satisfiability Solving

Using Change Representations to Analyze Properties of Variational Software

Evaluation functions in aerial image segmentation

Improving automated email tagging with implicit feedback

A Benchmarking Study of Unsupervised Anomaly Detection Algorithms

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