Browsing by Subject "Sampling"
Now showing items 1-12 of 12
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(2022-07-28)Bayesian optimization (BO), a sequential design strategy for global optimization problem, has gained popularity during last decades for its capability of handling computationally expensive derivative-free objective functions ...
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(Texas A&M University. Libraries, 09 AUG 196)
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(2019-11-26)Reducing crash counts on saturated road networks is one of the most significant benefits behind the introduction of Autonomous Vehicle (AV) technology. To date, many researchers have studied how AVs maneuver in different ...
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Tom Bullinton & Bill Wardel (man with beard), are collecting samples from Galveston Bay for disease investigations in the aquatic animal medicine program at Texas A&M.
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(2012-07-16)Determining which genes are essential for growth of a bacterial organism is an important question to answer as it is useful for the discovery of drugs that inhibit critical biological functions of a pathogen. To evaluate ...
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Copyright law is struggling to properly and accurately judge modern music. While technological advances in the last 50-years have greatly contributed to the difficulty of the law’s task, the real culprit behind the issue ...
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(2009-05-15)Uncertainty quantification involves sampling the reservoir parameters correctly from a posterior probability function that is conditioned to both static and dynamic data. Rigorous sampling methods like Markov Chain Monte ...
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(2015-06-26)We consider the interpolatory theory of bandlimited functions at both the integer lattice and at more general point sets in Rd by forming interpolants which lie in the linear span of translates of a single Radial Basis ...
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(Texas A&M University, 2004-09-30)A software application called Public News Network (PNN) is created in this thesis, which functions to produce an aesthetic experience in the viewer. The application engenders this experience by presenting a three-dimensional ...
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(2013-04-30)Reinforcement Learning has received a lot of attention over the years for systems ranging from static game playing to dynamic system control. Using Reinforcement Learning for control of dynamical systems provides the benefit ...
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(2020-02-02)
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(2011-02-22)Proof of concept lidar research has, to date, examined wall-to-wall models of forest ecosystems. While these studies have been important for verifying lidars efficacy for forest surveys, complete coverage is likely not ...