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  • Statistics and metrics generator for web-based software installation

    Creator:
    Guruprasad, Arvind
    Abstract:
    Statistics and Metrics Generator (SMG), is a software tool that gathers, stores and reports performance and execution metrics for a web-based software installation process. The purpose of this project was to develop a software utility that provides feedback about software download and installation process efficiency. A web-based software installation is...
    Resource Type:
    Capstone Project
    Full Text:
    : Report Generator Design Diagram The purpose of this module is to generate statistics and metrics on

  • Adaptive broadband wireless interference mitigation architecture applying higher order statistics algorithm for computer platform

    Creator:
    Wang, Qiwei
    Abstract:
    The broadband wireless interference in a computer platform is resulted by multiple electro-magnetic emission sources. This non-Gaussian interference is proved to be double-sided K-distributed in previous research. With the limitation of transmission power and dimension of the device, interference mitigation is an efficient way to improve received signal bit error...
    Resource Type:
    Masters Thesis
    Full Text:
    Architecture Applying Higher Order Statistics Algorithm for Computer Platform AN ABSTRACT OF THE THESIS

  • On error bounds for linear feature extraction

    Creator:
    Thangavelu, Madan Kumar
    Abstract:
    Linear transformation for dimension reduction is a well established problem in the field of machine learning. Due to the numerous observability of parameters and data, processing of the data in its raw form is computationally complex and difficult to visualize. Dimension reduction by means of feature extraction offers a strong...
    Resource Type:
    Masters Thesis
    Full Text:
    AN ABSTRACT OF THE THESIS OF Madan Kumar Thangavelu for the

  • Machine Learning Methods for Computational Sustainability

    Creator:
    Liu, Liping
    Abstract:
    Maintaining the sustainability of the earth’s ecosystems has attracted much attention as these ecosystems are facing more and more pressure from human activities. Machine learning can play an important role in promoting sustainability as a large amount of data is being collected from ecosystems. There are at least three important...
    Resource Type:
    Dissertation
    Full Text:
    statistics: Number of instances on the decision bound- ary (”# at d.b.”) and fraction of instances predicted

  • Probabilistic models for quality control in environmental sensor networks

    Creator:
    Dereszynski, Ethan W.
    Abstract:
    Networks of distributed, remote sensors are providing ecological scientists with a view of our environment that is unprecedented in detail. However, these networks are subject to harsh conditions, which lead to malfunctions in individual sensors and failures in network communications. This behavior manifests as corrupt or missing measurements in the...
    Resource Type:
    Dissertation
    Full Text:
    AN ABSTRACT OF THE DISSERTATION OF Ethan W. Dereszynski for

  • Parameter estimation of Gaussian hierarchical model using Gibbs sampling

    Creator:
    Mbuthia, Juliana
    Abstract:
    Gibbs sampling method is an important tool used in parameter estimation for many probabilistic models. Specifically, for many scenarios, it is difficult to generate high-dimensional data samples from its joint distribution. The Gibbs sampling provides a way to draw high-dimensional data via the conditional distributions which are typically easier to...
    Resource Type:
    Masters Thesis
    Full Text:
    population parameters from using sample statistics. For example, a clinical trial of a new throat cancer

  • SIMstat: Wireless, Highly-Reconfigurable Electrochemical Analog Front-End for Point-of-Care Diagnostics and Continuous Monitoring

    Creator:
    Cook, Jacob M.
    Abstract:
    Within the past decade, the continued-scaling of CMOS processes and improvements in industry mixed-signal integrated-circuit designs have enabled a rapid decrease in the cost, form-factor, and power for point-of-care diagnostics and electrochemical instrumentation. Similarly, advances in low-power RF designs have prompted entire System-on-Modules supporting widely varied Internet-of-Things (IoT) applications. The...
    Resource Type:
    Masters Thesis
    Full Text:
    Statistics from Handheld/Evaluation Board and Benchtop System (Courtesy of Lael Wentland

  • Methods for evaluating the impact of renewable resource variability on grid operation and planning

    Creator:
    Halamay, Douglas A.
    Abstract:
    With the recent interest in increasing the penetration of renewable energy sources onto the power grid, there has been an unprecedented rapid deployment of wind generation, especially in the US Pacific Northwest. While wind farm developers have continued to expand their operations, power system operators are left to deal with...
    Resource Type:
    Masters Thesis
    Full Text:
    statistical measures, these statistics are often not directly usable by system operators. Composed of two

  • An automated web crawl methodology to analyze the online privacy landscape

    Creator:
    Sarkar, Chandan
    Abstract:
    Protecting end-users privacy and building trust are the two most important factors needed to support the growth of ecommerce. The increased dependence on the Internet for a wide variety of daily transactions causes a corresponding loss in privacy for many users, as virtually all websites collect data from users directly...
    Resource Type:
    Masters Thesis
    Full Text:
    basic statistics on the state of privacy, security, and data-collection practices on the web. I have

  • Automatic Detection of Possessions and Shots from Raw Basketball Videos

    Creator:
    Terhuja, Vikedo
    Abstract:
    Sports analytics is rapidly evolving today through the use of computer vision systems that automatically extract huge amount of information inherently present in multimedia data without much human assistance. This information can facilitate a better understanding of patterns and strategies in various sports. However, for non-professional teams, due to expense...
    Resource Type:
    Masters Thesis
    Full Text:
    extraction of game statistics and information. In this thesis, we consider two problems in basketball sports

  • Threshold Selection Based on the SNR in Time of Arrival Localization System

    Creator:
    Lyu, Tao
    Abstract:
    Threshold-based time of arrival (TOA) estimation is a technique for high-precision indoor localization. Existing threshold selection methods, such as xed thresh- old and normalized threshold methods, do not consider the signal-to-noise radio (SNR) value at the receiver. This is not desired for high-precision positioning. A proper threshold value depends on...
    Resource Type:
    Masters Thesis
    Full Text:
    positioning. A proper threshold value depends on the statistics of the received signal. The dominating

  • Mutation testing of spreadsheets

    Creator:
    Abraham, Robin, Erwig, Martin, and Oregon State University. School of Electrical Engineering and Computer Science
    Abstract:
    We present a catalog of mutation operators for spreadsheets drawn from research into mutation testing for general purpose programming languages and from spreadsheet errors that have been reported in literature. These operators are integrated into a system, called μTest, which allows users to create and maintain spreadsheet test cases. Three...
    Resource Type:
    Technical Report
    Full Text:
    plan to integrate automatic test case generation into future versions of µTest. The statistics for the

  • Interactive visual analysis promotes exploration of long-term ecological data

    Creator:
    Pham, Tuan, Jones, Julia A., Metoyer, Ronald, Swanson, Frederick, and Pabst, Robert
    Abstract:
    Long-term ecological data are crucial in helping ecologists understand ecosystem function and environmental change. Nevertheless, these kinds of data sets are difficult to analyze because they are usually large, multivariate, and spatiotemporal. Although existing analysis tools such as statistical methods and spreadsheet software permit rigorous tests of pre-conceived hypotheses and...
    Resource Type:
    Article
    Full Text:
    of long-term ecological data Interactive visual analysis promotes exploration of long-term

  • Quality of Experience Assurance Methods in Mobile Heterogeneous Wireless Communication Systems

    Creator:
    Sinky, Hassan Hussein
    Abstract:
    The proliferation of mobile users and internet content has advanced a plethora of research areas. Among these areas include mobile networks, transport layer protocols, and smart cities. Research shows that global mobile data traffic will increase sevenfold reaching 49 exabytes per month by 2021, most of which will be mobile...
    Resource Type:
    Dissertation
    Full Text:
    thesis.dvi AN ABSTRACT OF THE DISSERTATION OF Hassan Hussein

  • Adding context and value to online security ratings by combining heuristics with community based ratings

    Creator:
    Ayyavu, Prashanth
    Abstract:
    The Internet is growing rapidly in terms of websites, users and uses. People use the Internet for reference, shopping, social networking, communications, business and much more. Though the Internet is useful, there are many risks associated with its use, like malicious websites, identity theft, hateful content and fraudulent practices. Online...
    Resource Type:
    Masters Thesis
    Full Text:
    ABSTRACT OF THE THESIS OF Prashanth Ayyavu for the degree of Master of Science in Computer Science

  • The Partitioning Technique of Power System to Improve the Observability of Sub-System for Multi-area State Estimation

    Creator:
    Lyu, Tao
    Abstract:
    An accurate state estimation plays an essential role in power system operation and planning in energy management systems. However, existing multi-area state estimation researches have not focused on the importance of system clustering. The clustering mechanism divides or partitions a system according to user-defined criteria. Few published research works have...
    Resource Type:
    Dissertation
    Full Text:
    , 30] introduces an online noise statistic estimation technique. It updates the noise at each step of

  • Continuous Integration (CI) Needs and Wishes for Developers of Proprietary Code

    Creator:
    Hilton, Michael, Nelson, Nicholas, Dig, Danny, Tunnell, Timothy, Marinov, Darko, and Oregon State University. Department of Computer Science
    Abstract:
    Continuous integration (CI) systems automate the compilation, building, and testing of software. Despite CI being one of the most widely used processes in software engineering, we do not know what motivates developers to use CI, and what barriers and unmet needs they face. Without such knowledge developers make easily avoidable...
    Resource Type:
    Technical Report
    Full Text:
    Continuous Integration (CI) Needs and Wishes for Developers of

  • Development of a Collision Detection Module for Avian and Bat Species on Wind Turbine

    Creator:
    Davis, Cassandra L.
    Abstract:
    Renewable energy technology continues to grow in popularity as countries aim to reduce greenhouse gas emissions. Land based and offshore wind turbines are one option for expanding renewable energy sources. However, as wind energy adoption increases, so does the need for enhanced monitoring of wind turbines’ potential effect on local...
    Resource Type:
    Capstone Project
    Full Text:
    Development of a Collision Detection Module for Avian and

  • Dependency speculation in dynamic simultaneous multi-threading

    Creator:
    Nelson, Jarrod A.
    Abstract:
    The purpose of this thesis is to explore dependency speculation in Dynamic Simultaneous Multi-Threading (DSMT). DSMT is a microprocessor architecture which attempts to extract Thread Level Parallelism (TLP) from single-threaded programs at run-time. This is accomplished by running multiple iterations of program loops in parallel. The DSMT architecture was originally...
    Resource Type:
    Masters Thesis
    Full Text:
    ���������#��!���!���������!������������������������ �������������������#����� �������� ������������� ��+�����#)�������� ��������� ��!���@����1������������� ������ ��������������� ���!����#)�"�������� � � >@� � � Simulation Statistics

  • Compressive Sensing for Low Power Sensor Design

    Creator:
    Behravan, Vahid
    Abstract:
    Recent sensor System-on-Chips (SoC) have enabled significant advances in energy-efficiency by incorporating various micro-powered building blocks. Unfortunately, most of these sensor systems do not address the high power cost associated with data storage and transmission, which in some cases vastly exceeds the power consumed by the rest of the SoC....
    Resource Type:
    Dissertation
    Full Text:
    is proposed, the reconstruction of which is aided by statistics collection. It is demonstrated how

  • Gender and participation in early stages of the free/open source software joining process

    Creator:
    Gilbertson, Claire E.
    Abstract:
    Free/Open Source Software (FOSS) is a powerful development paradigm for creating software. Increasingly more FOSS projects, like Firefox and Android, are integrated into mainstream technology. It is important that FOSS projects serve its diverse user base well. Several surveys have found that existing FOSS communities are very homogenous populations and...
    Resource Type:
    Masters Thesis
    Full Text:
    list, and studied posting statistics of females during the early stages of the process. In particular

  • Crowdsourcing via Pairwise Co-occurrences: Identifiability and Algorithms

    Creator:
    Ibrahim, Shahana
    Abstract:
    Crowdsourcing is a popular paradigm to address the high demands for labeled data in big data deluge. It aims to produce accurate labels by effectively integrating noisy, non-expert labeling from crowdsourced workers (annotators). The machine learning community has been studying effective crowdsourcing methods for many years, and many models and...
    Resource Type:
    Masters Thesis
    Full Text:
    high sample complexity since they hinge on third-order statistics of the annotator responses – which

  • Information Theoretical Analysis of Self-Similar Trees

    Creator:
    Chunikhina, Evgenia V.
    Abstract:
    Tree-like patterns are ubiquitous in nature. Botanical trees, river networks, and blood systems are the most well-known examples of complex hierarchical systems met in observations. Interestingly, many of such systems exhibit statistical self-similarity. There are two main types of self-similarity: Horton self-similarity and Tokunaga self-similarity. Although there is an increased...
    Resource Type:
    Dissertation
    Full Text:
    stronger type of self-similarity, called Tokunaga self-similarity, addresses side branch- ing statistics

  • Usable and Scalable Querying of Scientific Datasets

    Creator:
    McCamish, Benjamin J.
    Abstract:
    Scientists and engineers have to analyze and query multiple large databases. Analysis over databases created by phasor measurement units can provide insight into the health of the grid, thereby improving control over operations. Realizing this data-driven control, however, requires validating, processing and storing massive amounts of PMU data efficiently, which...
    Resource Type:
    Dissertation
    Full Text:
    AN ABSTRACT OF THE DISSERTATION OF Benjamin John McCamish

  • Ocean electric energy extraction opportunities

    Creator:
    Zhang, Heng
    Abstract:
    The world's oceans contain tremendous renewable energy potentials. It is estimated that if 0.2% of the ocean's untapped energy could be harnessed, it could provide power sufficient for the entire world [1]. This thesis provides a comprehensive description of the state-of-the-art of ocean energy extraction technologies and lessons learned from...
    Resource Type:
    Masters Thesis
    Full Text:
    recent data of other stations or historical statistics of a station, a click on the "Stop Recent Plot

  • Enhancing Instructors’ Teaching Experience through Virtualization

    Creator:
    Patil, Ajinkya
    Abstract:
    In the current education environment, many instructors make use of some type of software, such as Visual Studio or a software library like OpenGL, in the classroom. Incorrect setup and configuration on an individual’s own system is a common problem when using these software tools. This thesis explores the difficulty...
    Resource Type:
    Masters Thesis
    Full Text:
    AN ABSTRACT OF THE THESIS OF

  • Exploration of regression models for cancer noncoding mutation recurrence

    Creator:
    Xu, Tanjin
    Abstract:
    An important impact of the genome technology revolution will be the elucidation of mechanisms of cancer pathogenesis, leading to improvements in the diagnosis of cancer and the selection of cancer treatment. Integrated with current well-studied massive knowledge and findings about the role of protein-coding mutations in cancer, demystifying the functional...
    Resource Type:
    Masters Thesis
    Full Text:
    measure of goodness of fit is Pearson’s chi-squared statistics, which is defined as χ2p = n∑ i=1 (yi

  • Interactive visualization of diversity in multivariate data sets unified across fields of study

    Creator:
    Pham, Tuan N. T.
    Abstract:
    The study of the diversity of multivariate objects shares common characteristics across disciplines, including ecology and organizational management. Nevertheless, experts in these two disciplines have adopted somewhat separate diversity concepts and analysis techniques, limiting the ability of potentially sharing and cross comparing these concerns. Moreover, while complex diversity data may...
    Resource Type:
    Dissertation
    Full Text:
    AN ABSTRACT OF THE DISSERTATION OF Tuan N.T. Pham for the

  • A study of methods for fine-grained object classification of arthropod specimens

    Creator:
    Lin, Junyuan
    Abstract:
    Object categorization is one of the fundamental topics in computer vision research. Most current work in object categorization aims to discriminate among generic object classes with gross differences. However, many applications require much finer distinctions. This thesis focuses on the design, evaluation and analysis of learning algorithms for fine- grained...
    Resource Type:
    Masters Thesis
    Full Text:
    AN ABSTRACT OF THE THESIS OF Junyuan Lin for the degree of

  • Modeling experts and novices in citizen science data for species distribution modeling

    Creator:
    Yu, Jun, Wong, Weng-Keen, and Hutchinson, Rebecca
    Abstract:
    The term Citizen Science refers to scientific research in which volunteers from the community participate in scientific studies as field assistants. Since citizen scientists can collect data cheaply, they enable research to be performed at much larger spatial and temporal scales than trained scientists can cover. Species distribution modeling which...
    Resource Type:
    Technical Report
    Full Text:
    function approximation: a gradient boosting ma- chine. Annals of Statistics, 29(5):1189–1232, 2001. [9] J

  • Computing Resource Usage as a Factor of Student Success

    Creator:
    Moissinac, Béatrice
    Abstract:
    Learning Analytics and other branches of Educational Research such as Computing Education Research (CER) implicitly assume that students, especially college students, have no barriers to access learning platforms or software packages. This assumption may be attributed to such pervasive beliefs such as "everyone has a device", or "everyone can access...
    Resource Type:
    Dissertation
    Full Text:
    Statistics . . . . . . . . . . . . . . . . . . . . . . . . 86 5.4.3 Limitation of Multiple Data Imputation

  • Adiabatic Markov Decision Process : convergence of value iteration algorithm

    Creator:
    Duong, Thai
    Abstract:
    Markov Decision Process (MDP) is a well-known framework for devising the optimal decision making strategies under uncertainty. Typically, the decision maker assumes a stationary environment which is characterized by a time-invariant transition probability matrix. However, in many real-world scenarios, this assumption is not justified, thus the optimal strategy might not...
    Resource Type:
    Masters Thesis
    Full Text:
    Adiabatic Markov Decision Process: Convergence of Value

  • Investigating the Effects of Design Quality in OSS Projects

    Creator:
    Mannan, Umme Ayda
    Abstract:
    Software systems are becoming an essential part of the lives of both individuals and organizations, and as a consequence, these systems are getting bigger and more complex. Because of this, the tasks of maintaining the quality in these complex software systems are becoming increasingly difficult. Furthermore, these systems are subject...
    Resource Type:
    Dissertation
    Full Text:
    value of each pair of time series. . . . . . . 53 4.1 Project Statistics

  • Learning algorithms for adapting the compliance of robotic limbs

    Creator:
    Aboufazeli, Mahtab
    Abstract:
    Motivation: Many robots such as legged robots and prosthetic hands/arms are designed to interact with uncertain and time-varying environments to accomplish their tasks. Observations on humans and animals during their daily tasks suggest that they adapt their leg compliance while traversing with different velocities on different grounds and adjust their...
    Resource Type:
    Dissertation
    Full Text:
    Simulation setup, optimum parameter values, and steady-state statistics of the online learning algorithm

  • Evolutionary Approach to Efficient Provisioning and Self-organization in Wireless Sensor Networks (WSN)

    Creator:
    Khanna, Rahul, 1966-
    Abstract:
    Advances in low-power digital integration and microelectro-mechanical systems (MEMS) have paved the way for micro-sensors. These sensors are equipped with data processing capabilities along with sensory circuits. Sensor data are processed on these individual sensors and transmitted to the target (sink). Lowcost integration and small sizes of these sensors have...
    Resource Type:
    Dissertation
    Full Text:
    profiling workloads patterns, packet statistics, utilization data, battery status, and quality-of-service

  • Custom Keyboards for Inputting Programs on Touchscreen Devices

    Creator:
    Almusaly, Islam M.
    Abstract:
    Soft keyboards come in different shapes, sizes, and layouts. Each layout is designed to help the users in different inputting tasks. Most of these layouts, however, focus on general text entry as opposed to computer programs. This dissertation addresses the problems with current input mechanisms on touchscreen devices. The dissertation...
    Resource Type:
    Dissertation
    Full Text:
    Syntax-Directed Keyboard using Java source code statistics; and (3) Evaluation of A Visual Programming

  • Physical activity recognition of free-living data using change-point detection algorithms and hidden Markov models

    Creator:
    Anderson, Michael M.
    Abstract:
    Physical activity recognition using accelerometer data is a rapidly emerging field with many real-world applications. Much of the previous work in this area has assumed that the accelerometer data has already been segmented into pure activities, and the activity recognition task has been to classify these segments. In reality, activity...
    Resource Type:
    Masters Thesis
    Full Text:
    , 0.033} are bottom-up experiments. . . . . . . . 34 LIST OF TABLES Table Page 3.1 Statistics used to

  • Methods for Detection and Recovery of Out-of-Distribution Examples

    Creator:
    Ratzlaff, Neale J.
    Abstract:
    Deep neural networks currently comprise the backbone of many applications where safety is a critical concern, for example: autonomous driving and medical diagnostics. Unfortunately these systems currently fail to detect out-of-distribution (OOD) inputs and can be prone to making dangerous errors when exposed to them. In addition, these same systems...
    Resource Type:
    Masters Thesis
    Full Text:
    . . . . . . . . . . . . . . . . . . . . . . 18 2.3 2-norm statistics on the layers of a population of networks sampled from HyperGAN, compared

  • Classification of motion capture sequences

    Creator:
    Maniar, Dharin Haresh
    Abstract:
    Motion capture data is a digital representation of the complex temporal structure of human motion. Motion capture is widely used for data-driven animation in sports,medicine and entertainment, because of its ability to capture complex and realistic motions. Due to its efficiency and cost, methods for reusing collections of motion capture...
    Resource Type:
    Masters Thesis
    Full Text:
    () AN ABSTRACT OF THE THESIS OF Dharin

  • Mental Models of Mere Mortals with Explanations of Reinforcement Learning

    Creator:
    Anderson, Andrew A.
    Abstract:
    How should reinforcement learning (RL) agents explain themselves to humans not trained in AI? To gain insights into this question, we conducted a 124 participant, four-treatment experiment to compare participants’ mental models of an RL agent in the context of a simple Real-Time Strategy (RTS) game. The four treatments isolated...
    Resource Type:
    Masters Thesis
    Full Text:
    AN ABSTRACT OF THE THESIS OF Andrew A. Anderson for the

  • Modeling and dynamics analysis of P2P networks based on evolutionary games

    Creator:
    Cho, Seungyun
    Abstract:
    Since free riders in P2P network reduce the system's performance, how to maintain and encourage the nodes' cooperation is an important aspect of P2P related research. In this thesis, a P2P system is modeled based on two games: stag hunt game and snowdrift game. To relate the model to the...
    Resource Type:
    Masters Thesis
    Full Text:
    AN ABSTRACT OF THE THESIS OF

  • Redesigning the Structure and Access Paths of Databases for Effective and Efficient Query Processing

    Creator:
    Ghadakchi, Vahid
    Abstract:
    Many database users are not familiar with formal query languages, the concept of schema, or the exact content of their database. Thus, it is challenging for these users to formulate their information needs over semi-structured and structured databases. To address this problem, researchers have proposed usable query interfaces over which...
    Resource Type:
    Dissertation
    Full Text:
    Statistics of relations in the Freebase dataset . . . . . . . . . . . . . . . . 52 3.2 Sample MSN queries

  • Fabrication of Cost-effective Flexible Glucose Sensor for Continuous Glucose Monitoring

    Creator:
    Mullapudi, Sri Sai Kameswara
    Abstract:
    Diabetes is a pandemic that affects nearly 29.1 million Americans and the fourth leading cause of mortality in the US. Type 1 diabetes is a chronic condition which occurs due to little to no production of insulin by the pancreas. This form of diabetes requires constant monitoring of blood glucose...
    Resource Type:
    Masters Thesis
    Full Text:
    AN ABSTRACT OF THE THESIS OF Sri Sai

  • Visualization of N-ary Relationships

    Creator:
    Qu, Botong
    Abstract:
    N-ary relationships, which relate N entities where N is not necessarily two, are omnipresent in real life. In this thesis, we develop a visualization technique for N-ary relationships. First, we propose a visual metaphor that utilizes vertices and polygons to represent entities and N-ary relationships. Based on this visual metaphor,...
    Resource Type:
    Dissertation
    Full Text:
    AN ABSTRACT OF THE DISSERTATION OF Botong Qu for the

  • Sequential supervised learning and conditional random fields

    Creator:
    Ashenfelter, Adam J.
    Abstract:
    Supervised learning is concerned with discovering the relationship between example sets of features and their corresponding classes. The traditional supervised learning formulation assumes that all examples are independent from one another. The order of the examples contains no information. Nonetheless, many problems have a sequential nature. Classifiers for these problems...
    Resource Type:
    Masters Thesis
    Full Text:
    . Ashenfelter A THESIS submitted to Oregon State University in partial fulfillment of the requirements for

  • A comparison of box-cox and additive exponential models to estimate the depreciation of farm machinery

    Creator:
    Wu, Jing
    Abstract:
    Farm machinery continues to increase in its importance to the agricultural sector. Depreciation, the decline in value of a durable asset over time, represents one of the largest costs of agricultural production. The general objectives of this study were to update and expand the number of Remaining Value (RV) functions...
    Resource Type:
    Masters Thesis
    Full Text:
    functional 29 forms for farm equipment remaining value models 3.6 Statistic results of testing correlation

  • Toward Disentangling the Activations of the Deep Networks via Low-dimensional Embedding and Non-negative Factorization

    Creator:
    Khorram, Saeed
    Abstract:
    In this thesis, we introduce a novel Explanation Neural Network (XNN) to explain the predictions made by a deep network. The XNN works by embedding a high-dimensional activation vector of a deep network layer non-linearly into a low-dimensional explanation space while retaining faithfulness i.e., the original deep learning predictions can...
    Resource Type:
    Masters Thesis
    Full Text:
    AN ABSTRACT OF THE THESIS OF Saeed Khorram for the

  • A probabilistic framework and algorithms for modeling and analyzing multi-instance data

    Creator:
    Behmardi, Behrouz
    Abstract:
    Multi-instance data, in which each object (e.g., a document) is a collection of instances (e.g., word), are widespread in machine learning, signal processing, computer vision, bioinformatic, music, and social sciences. Existing probabilistic models, e.g., latent Dirichlet allocation (LDA), probabilistic latent semantic indexing (pLSI), and discrete component analysis (DCA), have been...
    Resource Type:
    Dissertation
    Full Text:
    AN ABSTRACT OF THE DISSERTATION OF Behrouz Behmardi for the degree

  • Automatic Explanations of Computation Results with Value Decompositions and Dominating Sets

    Creator:
    Kumar, Prashant
    Abstract:
    In an increasingly computation-driven world, algorithms and mathematical models significantly impact decision making across various fields. To foster trust and understanding, it is crucial to provide users with clear and concise explanations of the reasoning behind the results produced by computational tools, especially when recommendations appear counterintuitive. Legal frameworks in...
    Resource Type:
    Dissertation
    Full Text:
    AN ABSTRACT OF THE DISSERTATION OF Prashant

  • Constraining Bayesian network learning with qualitative models

    Creator:
    Altendorf, Eric E.
    Abstract:
    Machine learning encompasses probabilistic and statistical techniques that can build models from large quantities of extensional information (examples) with minimal dependence on intensional information (domain knowledge). This focus of machine learning is reflected in the never-ending quest for "off-the-shelf" classifiers. To generalize to unseen data, however, we must make use...
    Resource Type:
    Masters Thesis
    Full Text:
    AN ABSTRACT OF THE THESIS OF Eric E. Altendorf for the degree