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Filtering by: Creator Froelich, Peter N. Remove constraint Creator: Froelich, Peter N. Committee Member Wong, Weng-Keen Remove constraint Committee Member: Wong, Weng-Keen

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  • Network Analysis and Change-point Detection

    Creator:
    Xu, Jiarui
    Abstract:
    Analysis of observations on sequential events over time is common in real life. Sequential measurements over time describing the behavior of systems are usually called time series data, which have been collected in a wide range of disciplines. Over the years there have been multiple research areas in studying stochastic...
    Resource Type:
    Dissertation
    Full Text:
    heuristic choices of ζ, such methods have been recently shown to be consistent if the input network with N

  • Interpretable Machine Learning: Applications in Biology and Genomics

    Creator:
    Danaee, Padideh
    Abstract:
    Machine learning (ML) and deep learning (DL) models impact our daily lives with applications in natural language modeling, image analysis, healthcare, genomics, and bioinformatics. The exponential growth of biological sequence data necessitates accompanying advances in computational methods. Although deep learning is highly effective for detecting and classifying biological sequences, challenges...
    Resource Type:
    Dissertation
    Full Text:
    recursively produce a dot-bracket sequence. Here, “+” refers to string-concatenation, and “.”⇥n copies the

  • Network Traffic-Driven Hybrid Learning for Classifying Seen and Unseen IoT Device Types

    Creator:
    Bao, Jiaqi
    Abstract:
    IoT networks can be viewed as collections of Internet-enabled physical devices and objects, embedded with sensor, actuator, computation, storage and communication components, that are capable of connecting and exchanging data to one another. In recent years, organizations have allowed more and more IoT devices to be connected to their networks,...
    Resource Type:
    Masters Thesis
    Full Text:
    data feed into the random forest, where n is the number of features, p is the number of data samples

  • 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:
    dataset {fn}Nn=1 where fn ∈ Rd is a data sample (or, feature vector) and N is the number of samples. Each

  • 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:
    models (Y axis) chose one of above sensors (X axis) to add as the N thk sensor for a model of size Nk. A

  • Learning to coordinate in sparse asymmetric multiagent systems

    Creator:
    Dixit, Gaurav
    Abstract:
    Multiagent learning offers a rich framework to address challenging real-world problems such as remote exploration and healthcare coordination, which require autonomous agents to express elaborate interactions. To be effective in such systems, agents must collectively reason about and pursue high-level, long-term, and possibly nebulous objectives while adapting their strategy to...
    Resource Type:
    Dissertation
    Full Text:
    algorithm. Periodically (every N steps), policies from the best performing teams from each mainland are

  • 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:
    . . . . . . . . . . . . . . . . . . . 7 2.2 The train and test time complexity comparison of different classifiers. N is the number of

  • Re-understanding Finite-State Representations of Recurrent Policy Networks

    Creator:
    Danesh, Mohamad H.
    Abstract:
    We propose an approach for understanding control policies represented as recurrent neural networks. Recent work has approached this problem by transforming such recurrent policy networks into finite-state machines (FSM) and then analyzing the equivalent minimized FSM. While this led to interesting insights, the minimization process can obscure a deeper understanding...
    Resource Type:
    Masters Thesis
    Full Text:
    comprises of ’n’ layer encoder and ’n’ layer decoder. At the bottleneck, we used the same TernaryTanh

  • 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
    Full Text:
    number of significant time points to be ‘N ’5. We denote clock times for each of the significant time

  • Evolving character controllers for collision preparation

    Creator:
    Rose, Robert W.
    Abstract:
    Full dynamic control of physically simulated characters is the holy grail of video games and other interactive applications. Recent advances in the field have presented controllers that can handle the balance and fall response after a collision. This thesis addresses the development of a controller that handles the response before...
    Resource Type:
    Masters Thesis