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Subject: Brain Subject: Intelligence Departments: Department of Computing Science

  • Faster Gradient-TD Algorithms

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    Spring 2013

    Hackman, Leah M

    Gradient-TD methods are a new family of learning algorithms that are stable and convergent under a wider range of conditions than previous reinforcement learning algorithms. In particular, gradient-TD algorithms enable off-policy problems---problems where the distribution of the data is different...

  • Labeling of white matter of MRI brain images using skeleton

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    Spring 2016

    Taghaddosi, Mohsen

    Image segmentation is the problem of assigning 2D pixels or 3D voxels to a set of finite labels. In particular, in medical imaging, the goal of segmentation is to partition an MRI or CT image into regions that are relevant to the biology of a particular disease, for example the motor cortex in...

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