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POLICY ADVICE, NON-CONVEX AND DISTRIBUTED OPTIMIZATION IN REINFORCEMENT LEARNING
(2016)
Transfer learning is a method in machine learning that tries to use previous training
knowledge to speed up the learning process. Policy advice is a type of transfer learning
method where a student agent is able to learn ...
INFORMATION-THEORETIC METRICS, THERMODYNAMIC METRICS, AND THEIR APPLICATIONS
(2016)
In this thesis, we present information-theoretic metrics, thermodynamic metrics and their applications in computer science. First, we show that the information rate of the language accepted by a reversal-bounded deterministic ...
Analysis of Changes in Sensor Data for Mobility Assessment
(2016)
Age, injury, or disease-related impairments can severely diminish one's ability to be mobile and perform everyday tasks. To detect changes in abilities, healthcare professionals administer standardized assessments. Sensor ...
A Non-destructive Analysis Method for Integrated Circuit-Based Finite State Machines
(2016)
The world is becoming increasingly computerized; much of this computing hardware is put into silicon overseas, increasing the number of unknown or untrusted sourced ICs in critical systems. Current methods of determining ...
Applications and Extensions of pClust to Big Microbial Proteomic Data
(2016)
The goal of biological sciences is to understand the biomolecular mechanics of living organisms. Proteins serve as the foundation for organisms functional analysis and sequence analysis has shown to be invaluable in answering ...
Quantifying the effects of uncertainty to manage cyber-security risk and enable adaptivity in power grid wide area monitoring and control applications
(2016)
The smooth operation of the power grid is based on the effective Wide Area Monitoring and Control systems, which is supposed to provide reliable and secure communication of data. Due to the complexity of the system and ...
Trade, territoriality, alliances and conflict : complexity science approaches to the archaeological record of the U.S. Southwest with a case study from Languedoc, France
(2016)
This project utilizes network analysis and agent-based modeling to examine long-standing questions that can only now be asked with the rich data provided in southwestern Colorado and southern France: how Gauls and colonists ...
An Empirical Investigation of the Influence of Online Social and Programming Behaviors on Learning Outcomes in Early Computing Courses
(2016)
At only 46%, computing has one of the lowest baccalaureate retention rates. This statistic is especially distressing given the upward trend in demand for computing professionals. In combination, these facts present a clear ...
Supervised Learning in Dynamic Streaming Graphs
(2016)
With the emergence of networked data, graph classification has received considerable interest during the past years. Most approaches to graph classification focus on designing effective kernels to compute similarities for ...
Sparse Sensing and Actuation in Stochastic Networks
(2016)
The two main ideas that are discussed in this dissertation are sparse sensing and actuation in stochastic networks. In the area of sparse sensing, the flag HMM is developed. The flag HMM is comprised of a structured ...