Publications
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Mapping, Navigation, and Learning for Off-Road Traversal
Abstract The challenge in the DARPA Learning Applied to Ground Robots (LAGR) project is to autonomously navigate a small robot using stereo vision as the main sensor. During this project,…
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Measuring How A College Education Lays The Foundation For “Thinking Like An Expert”
Introduction A college education has long been viewed as a way to improve students’ capacity to think critically and argue rationally. Yet cognitive psychologists and philosophers studying the development of…
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Nociceptin/Orphanin FQ Antagonists Ameliorate the Disease Pathogenesis During Inflammatory Bowel Disease
We evaluated the therapeutic potential of N/OFQ antagonists in C57Bl/6 mice in an IBD model after disease induction by treatment for 5 days with DSS, and subsequent observation of the…
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Prominent Role of alpha3/alpha6beta2* nAChRs in Regulating Evoked Dopamine Release in Primate Putamen: Effect of Long-Term Nicotine Treatment
Here, we used voltammetry to assess the role of nAChRs on evoked dopamine release from monkey putamen slices.
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Realizing Adaptive Instruction (Ad-In): the Convergence of Learning, Instruction, and Assessment
In this paper, we define adaptive instruction, or Ad-In, as applied to sophisticated skills development systems that target learning and assessment in a highly individualized and interactive manner.
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Teamwork in GPS-Denied Environments Fusion of Multi-Sensor Networks
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Back To The Future: A Non-Automated Method Of Constructing Transfer Models
In this paper, instead of applying automated and computationally intensive approaches, we simply start with existing hand-constructed transfer models at various levels of granularity and use them as a lens…
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An Attacker-Defender Game for Honeynets
We formalize the problem of defending honeynets from systematic mapping (a serious threat to their viability) as a simple two-person game.
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Constraint-Muse: a Soft-Constraint Based System for Music Therapy
We have developed a prototype tool for interactive music creation, called Constraint Muse, that uses monoidal soft constraints to ensure that a dynamically generated melody harmonizes with input from other…
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Efficient online learning and prediction of users’ desktop actions
We investigate prediction of users’ desktop activities in the Unix domain. We show that simple efficient many-class learning can perform well for action prediction, significantly improving over previously published results…
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Frizzled 8 Activation By WNT-2 and Synergistic Up-Regulation in Lung Cancer
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Gradient-Type Minimization Methods for Initializing State Variables in GPS/Ins Integration
This paper describes an alternative to linear filtering methods for processing a combination of IMU data and GPS data when there is only a limited time to estimate state variables.