Browsing University of Oregon Administration by Subject "machine learning"

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  • Ashby, Stefania (University of Oregon, 2021-09-13)
    Memory generalization is the process by which we extract commonalities across our individual experiences to form new knowledge that can guide future decisions. Studies examining generalization have traditionally employed ...
  • Kelly, Austen (University of Oregon, 2020-02-27)
    Machine learning methods often face a tradeoff between the accuracy of discriminative models and the lower sample complexity of their generative counterparts. This inspires a need for hybrid methods. In this paper we present ...
  • Hay, Edouard (University of Oregon, 2020-02-27)
    The microbial communities of animal intestines are composed of dozens to hundreds of species and play important roles in host development, health and disease. Due to the complexity of these communities, the determinants ...
  • Sood, Kanika (University of Oregon, 2019-09-18)
    Scientific and engineering applications are dominated by linear algebra and depend on scalable solutions of sparse linear systems. For large problems, preconditioned iterative methods are a popular choice. High-performance ...
  • Juliani, Arthur (University of Oregon, 2021-04-27)
    Humans and other mammals possess two remarkable abilities: the capacity to store and retrieve a seemingly boundless series of episodic memories, and the capacity to quickly make sense of and navigate their changing ...
  • Jamshidi, Soheil (University of Oregon, 2020-12-08)
    Many large networked systems ranging from the Internet to ones deployed atop the Internet (e.g., Amazon) play critical roles in our daily lives. In these systems, individual nodes (e.g., a computer) establish a physical ...
  • Castillo, Andrew (University of Oregon, 2024-08-07)
    This pre-registered study evaluates the relationship between imagination and maladaptive personality traits using the Four-Factor Imagination Scale and Personality Inventory for DSM-5. Large-scale, multinational, cross-sectional ...

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