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Bayesian hierarchical and joint modeling of the reversal learning task
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Addressing uncertainty in Stackelberg games for security: models and algorithms
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Computational stochastic programming with stochastic decomposition
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Stochastic dynamic power and thermal management techniques for multicore systems
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Toward human-multiagent teams
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Risk-aware path planning for autonomous underwater vehicles
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Coordinating social communication in human-robot task collaborations
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Eigenfunctions for random walks on hyperplane arrangements
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On scheduling, timeliness and security in large scale distributed computing
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Sequential analysis of large scale data screening problem
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On optimal signal representation for statistical learning and pattern recognition
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Queueing loss system with heterogeneous servers and discriminating arrivals
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Reinforcement learning in hybrid electric vehicles (HEVs) / electric vehicles (EVs)
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Probabilistic data-driven predictive models for energy applications
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Essays on online advertising markets
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Improving user experience on today’s internet via innovation in internet routing
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Spatio-temporal probabilistic inference for persistent object detection and tracking
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Discounted robust stochastic games with applications to homeland security and flow control
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Essays on the equitable distribution of healthcare
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Economic aspects of obesity
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Interaction and topology in distributed multi-agent coordination
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Noradrenergic mechanisms of arousal-enhanced memory selectivity
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Knowledge-driven representations of physiological signals: developing measurable indices of non-observable behavior
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Modeling mutational signatures in cancer
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Optimal debt allocation using a dynamic programming approach
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