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Title [ Type(Desc)] Year
Filters: Author is David W. Aha  [Clear All Filters]
Journal Article
L. N. Smith, Hand, E. H., Doster, T., and Aha, D. W., “Gradually DropIn Layers to Train Very Deep Neural Networks: Theory and Implementation”, Navy Center for Applied Research on Artificial Intelligence, 2016.
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K. Ma, Wilson, M. A., and Aha, D. W., “Integrating Reinforcement Learning Algorithms with Underwater Vehicles”, Navy Center for Applied Research on Artificial Intelligence, 2016.
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M. W. Floyd, Drinkwater, M., and Aha, D. W., “Learning Trustworthy Behaviors Using an Inverse Trust Metric”, 2015.
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L. K. McDowell and Aha, D. W., “Leveraging Neighbor Attributes for Classification in Sparsely-Labeled Networks”, ACM Transactions on Knowledge Discovery from Data, vol. 11, no. 1, 2016.
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Report
J. T. Turner, Gupta, K., Morris, B., and Aha, D. W., “Keypoint Density-based Region Proposal for Fine-Grained Object Detection using Regions with Convolutional Neural Network Features”, 2015.
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C. A. Whitter, Alford, R., Aha, D. W., and Karneeb, J., “Programming a Human Interaction Access Point for a Virtual Air Combat Simulation Environment”, 2015.
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