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Filtering by: Creator Natarajan, Venkatesh Remove constraint Creator: Natarajan, Venkatesh Degree Name Doctor of Philosophy (Ph.D.) Remove constraint Degree Name: Doctor of Philosophy (Ph.D.)

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  • Effective decision-theoretic assistance through relational hierarchical models

    Creator:
    Natarajan, Sriraam
    Abstract:
    Building intelligent computer assistants has been a long-cherished goal of AI. Many intelligent assistant systems were built and fine-tuned to specific application domains. In this work, we develop a general model of assistance that combines three powerful ideas: decision theory, hierarchical task models and probabilistic relational languages. We use the...
    Resource Type:
    Dissertation
    Full Text:
    Sriraam Natarajan for the degree of Doctor of Philosophy in Computer Science presented on November 20

  • Ultra-Wideband Relay Communication Systems

    Creator:
    Abbasi, Arash
    Abstract:
    Impulse-radio ultra-wide-band (IR-UWB) signaling is a promising technique for high-speed, short-range relay communications networks. Depending on how the relay node retransmits the signal, there are two main relay schemes: conventional one-directional (one-way) relay model, and bi-directional (two-way) relay model. In bi-directional relay communications, wireless network coding (WNC), also called physical-layer...
    Resource Type:
    Dissertation

  • An Anthology of Next-Generation WSNs and Transformative IoT Use-Cases

    Creator:
    Williams, Jennifer M.
    Abstract:
    The Internet of Things (IoT) paradigm brought an ever-increasing dependence on low-power devices to collect sensor data and transmit that information to the cloud, placing greater demand on connectivity and lifespan. In response, rapid worldwide innovation demonstrates the trade-offs in processing, communication, and energy consumption with diverse approaches to low-power...
    Resource Type:
    Dissertation
    Full Text:
    feedback from my other committee members Prof. Arun Natarajan, Prof. Karti Mayaram, Prof. Tom Diettrich

  • Efficient classification for longitudinal data

    Creator:
    Wang, Xianlong
    Abstract:
    We propose a new classification method for longitudinal data based on a semiparametric approach. Our approach builds a classifier by taking advantage of modeling information between response and covariates for each class, and assigns a new subject to the class with the smallest quadratic distance. This enables one to overcome...
    Resource Type:
    Dissertation
    Full Text:
    . (1984), Natarajan (1991), McLachlan (1992), Kearns and Vazirani (1994), Devroye et al. (1996), Kulkarni