Index Catalog // ScholarsArchive@OSU

Active learning with committees : an approach to efficient learning in text categorization using linear threshold algorithms

Creator:: Liere, Ray
Abstract:: We developed and investigated machine learning methods that require minimal preprocessing of the input data, use few training examples, run fast, and still obtain high levels of accuracy. Most approaches to designing machine learning programs are based on the supervised learning paradigm – training examples are chosen randomly and given...
Resource Type:: Dissertation
Full Text:: . Gerald Smith, and Prof. Robert Kiekel. All have shown special patience as I requested permission to do

Classification context in a machine learning approach to predicting protein secondary structure

Creator:: Langford, Bill T.
Abstract:: An important problem in molecular biology is to predict the secondary structure of proteins from their primary structure. The primary structure of a protein is the sequence of amino acid residues. The secondary structure is an abstract description of the shape of the folded protein, with regions identified as alpha...
Resource Type:: Masters Thesis
Full Text:: Machine Learning Approach to Predicting Protein Secondary Structure Abstract approved. Thomas G

A probabilistic model for anomaly detection in remote sensor streams

Creator:: Dereszynski, Ethan W.
Abstract:: Remote sensors are becoming the standard for observing and recording ecological data in the field. Such sensors can record data at fine temporal resolutions, and they can operate under extreme conditions prohibitive to human access. Unfortunately, sensor data streams exhibit many kinds of errors ranging from corrupt communications to partial...
Resource Type:: Masters Thesis
Full Text:: Remote Sensor Streams Abstract approved: Thomas G. Dietterich Remote sensors are becoming the standard

Explanations and Processes to Enable Humans to Assess AI with Respect to Manipulable Properties

Creator:: Dodge, Jonathan E.
Abstract:: Assessing AI systems is difficult. Humans rely on AI systems in increasing ways, both visible and invisible, meaning a variety of stakeholders need a variety of assessment tools (e.g., a professional auditor, a developer, and an end user all have different needs). We posit that it is possible to provide...
Resource Type:: Dissertation

Learning and Improving Policies for Probabilistic Planning Problems

Creator:: Issakkimuthu, Murugeswari
Abstract:: In this work, we study the problem of learning and improving policies for probabilistic planning problems. In the first part, we train neural network policies for probabilistic planning problems modeled as factored Markov decision problems. The objective is to train problem-specific neural networks via supervised learning to imitate the action...
Resource Type:: Dissertation
Full Text:: learning experience I have had as his student, and my Ph.D. committee members, Prof. Thomas Dietterich

PEESHTAZ : the interactive computer programming system in Farsi

Creator:: Ayromloo, Shahram Shawn
Resource Type:: Dissertation
Full Text:: members (Dr. Larry C. Hunter, Mr. Thomas L. Yates and Dr. Edwin L. Anderson), and my typist (Mrs. Lora D

Supporting merge comprehension when resolving merge conflicts

Creator:: Nelson, Nicholas
Abstract:: Distributed version control allows developers to manage software evolution among distributed development teams. But it does not eliminate all consistency and concurrency issues, and instead introduces additional complexity when merging code. And resolving merge conflicts is nontrivial when automated merging fails. In such cases, developers are forced to inspect the...
Resource Type:: Dissertation

Investigation of automatic construction of reactive controllers

Creator:: Westerberg, Caryl J.
Abstract:: In real-time control systems, the value of a control decision depends not only on the correctness of the decision but also on the time when that decision is available. Recent work in real-time decision making has used machine learning techniques to automatically construct reactive controllers, that is, controllers with little...
Resource Type:: Masters Thesis

Towards Narrative Understanding with Deep Neural Networks and Hidden Markov Models

Creator:: Orr, J. Walker
Abstract:: Narratives are central to communication and the human experience. For a computer system to understand a narrative, it must be able to identify the key facts or plot elements that describe what happened or how the world has changed. These element are called events;establishing a document’s events and the relationships...
Resource Type:: Dissertation
Full Text:: important correction. I am thankful for Dr. Thomas G. Dietterich and Dr. Alix Gitelman both for their

Leveraging Structures of the Data in Deep Learning

Creator:: Li, Xingyi
Abstract:: The performance of deep learning frameworks could be significantly improved through considering the particular underlying structures for each dataset. In this thesis, I summarize our three work about boosting the performance of deep learning models through leveraging structures of the data. In the first work, we theoretically justify that, for...
Resource Type:: Dissertation

ScholarsArchive@OSU

Active learning with committees : an approach to efficient learning in text categorization using linear threshold algorithms

Classification context in a machine learning approach to predicting protein secondary structure

A probabilistic model for anomaly detection in remote sensor streams

Explanations and Processes to Enable Humans to Assess AI with Respect to Manipulable Properties

Learning and Improving Policies for Probabilistic Planning Problems

PEESHTAZ : the interactive computer programming system in Farsi

Supporting merge comprehension when resolving merge conflicts

Investigation of automatic construction of reactive controllers

Towards Narrative Understanding with Deep Neural Networks and Hidden Markov Models

Leveraging Structures of the Data in Deep Learning

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