Index Catalog // ScholarsArchive@OSU

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:: AN ABSTRACT OF THE DISSERTATION OF Jose Manuel Picado Leiva

On edge disjoint Hamiltonian cycles in torus and Gaussian networks

Creator:: Alazemi, Fawaz M.
Abstract:: Many algorithms in parallel systems can be easily solved if we can generate a Hamiltonian cycle on the underly network. Finding Hamiltonian cycle is a well known NP-complete problem. For specific instances of regular graphs, such as Torus and Gaussian network, one can easily find Hamiltonian cycles. In this thesis,...
Resource Type:: Masters Thesis
Full Text:: Gaussian network G bn/2c α , for 1 ≤ 2r ≤ n < 2r+1. c©Copyright by Fawaz M. Alazemi December 4, 2014

Optimizing Interconnection Topology using Deep Reinforcement Learning

Creator:: Zeng, Kai
Abstract:: As the number of nodes in high-performance computing (HPC) systems continues to grow, it becomes increasingly important to design scalable interconnection network topologies. Prior work has shown promise in adding random shortcuts on top of an existing topology to reduce average hop count and network diameter, but has been limited...
Resource Type:: Masters Thesis
Full Text:: . IEEE, 2018. [3] George Almási, Ralph Bellofatto, José Brunheroto, Călin Caşcaval, José G Castanos

Machine Learning for Precision Medicine: Application to Cancer Chemotherapy Response Prediction and Wound Healing Status Assessment

Creator:: Wei, Qi
Abstract:: Ph.D. candidate Qi Wei's thesis consists of two projects: Chemotherapy Project: a study based on the research paper "Predicting chemotherapy response of various cancer types using a variational auto-encoder approach" submitted to the bioRxiv preprint archive and accepted by the BMC bioinformatics; and Wound Monitor Project: implementing and assessing analytics...
Resource Type:: Dissertation

Interactive player tracking for videos in American football

Creator:: Bawaskar, Amit
Abstract:: This thesis presents an interactive software tool for tracking a moving object in a video. In particular, we focus on the problem of tracking a player in American football videos. Object tracking is one of the fundamental problems in computer vision. It is one of the most important components in...
Resource Type:: Masters Thesis

Topics in toroidal interconnection networks

Creator:: Broeg, Robert Richard
Resource Type:: Dissertation

Resource placement, data rearrangement, and Hamiltonian cycles in torus networks

Creator:: Bae, Myung Mun
Abstract:: Many parallel machines, both commercial and experimental, have been/are being designed with toroidal interconnection networks. For a given number of nodes, the torus has a relatively larger diameter, but better cost/performance tradeoffs, such as higher channel bandwidth, and lower node degree, when compared to the hypercube. Thus, the torus is...
Resource Type:: Dissertation

High-Dimensional Reinforcement Learning with Human Feedback

Creator:: Curran, William
Abstract:: State-of-the-art personal robots need to perform complex manipulation tasks to be viable in complex scenarios. However, many of these robots, like the PR2, use manipulators with high degrees of freedom. High degrees of freedom are desirable from a functionality standpoint, but make the learning task more difficult by adding a...
Resource Type:: Dissertation

A SAT-based planning framework for optimizing resource production

Creator:: Ventura, Christopher
Abstract:: Domain-independent automated planning is concerned with computing a sequence of actions that can transform an initial state into a desired goal state. Resource production domains form an interesting class of such problems, in that they typically require reasoning about concurrent durative-actions with continuous effects while minimizing some cost function. Although...
Resource Type:: Masters Thesis

Anomaly Detection and Probabilistic Diagnosis for Automated Data Quality Control

Creator:: Zemicheal, Tadesse H.
Abstract:: Advances in sensor technology are greatly expanding the range of quantities that can be measured while simultaneously reducing the cost. However, deployed sensors drift out of calibration and fail, so every sensor network requires quality control procedures to promptly detect these failures. To address these problems, we propose a two-level...
Resource Type:: Dissertation

ScholarsArchive@OSU

Representationally Robust and Scalable Learning over Relational Databases

On edge disjoint Hamiltonian cycles in torus and Gaussian networks

Optimizing Interconnection Topology using Deep Reinforcement Learning

Machine Learning for Precision Medicine: Application to Cancer Chemotherapy Response Prediction and Wound Healing Status Assessment

Interactive player tracking for videos in American football

Topics in toroidal interconnection networks

Resource placement, data rearrangement, and Hamiltonian cycles in torus networks

High-Dimensional Reinforcement Learning with Human Feedback

A SAT-based planning framework for optimizing resource production

Anomaly Detection and Probabilistic Diagnosis for Automated Data Quality Control

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