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Contrary to previous approaches, we design continuous distributed consensus protocols to enable global asymptotic consensus tracking.
Making use of these two approaches, we design classifiers based on the well-known fisherface method.
Based on the approaches, we design and implement a distributed framework, FreEM, to support the implementation of frequent updates for the EM algorithms.
To circumvent the drawback of the greedy approaches, we design a score function based on mutual information and present a numerical optimization approach to avoid being stuck in the local optima.
In our parallel hardware approaches, we design streaming, real time classifiers by simplifying the sequential algorithm and manipulating the classifier's model to allow decision information to be represented compactly.
Similar(55)
Using structure- and property-based approaches, we designed 48 with improved cell potency (PC9 H3K4Me3 EC50 = 0.34 μM).
Taking advantage of the above embedding and the LSH-based spatial indexing approaches, we designed an efficient approximate compound structure similarity search algorithm.
Using an experimental-economics approach, we design two experiments to investigate auditor – manager interactions.
On the basis of this approach we design a new, simple interpolation algorithm.
Taking a combined design science and natural science approach, we design and test a prototype system based on the principles of structured communication.
In the proposed approach, we design a strategy to select the serial calculation order of variations and provide a rule to choose projection vectors with favorable discriminant capabilities.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com