Global ETD Search

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Showing 1 to 2 of 2 for “"Label complexity"”.

  1. SEQUENTIAL DECISION MAKING FOR ACTIVE LEARNING AND INFERENCE IN ONLINE SETTINGS

    … settings where the hypothesis space is large and labeled data are expensive. Examples include unusual activities in surveillance feedings, target search among large areas, frauds in financial transactions, attacks and intrusions in communication and computer networks, anomalies in infrastructures …

    cornell Repository record for SEQUENTIAL DECISION MAKING FOR ACTIVE LEARNING AND INFERENCE IN ONLINE SETTINGS (opens in a new tab)

  2. Online and active learning of big networks: theory and algorithms

    … data-driven applications. On the other hand, the labels of the nodes in big networks are scarce. It is urgent to optimize the process by which the labels are collected, because it is unrealistic to get labels of every node. The objective of my research is to develop algorithms for big network …

    uiuc Repository record for Online and active learning of big networks: theory and algorithms (opens in a new tab)