QGroundControl v2.0β visualisation and parameter tuning software
Parameter tuning in KNN for software defect prediction: an empirical analysis
... using parameter settings of prediction models with good performance on a particular dataset to another ...different parameter settings for Alternating Decision Tree ...optimal parameter setting and ...
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The Effects of Parameter Tuning on Machine Learning Performance in a Software Defect Prediction Context
... of software validation is the development of processes by which more bugs can be caught without an increase in ...the software or from the development ...a software development project along with the ...
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Swarm Intelligence Algorithms Parameter Tuning
... 5 Software Framework Module The described pheromone correction for undesirable points method is general enough to be included a as part of the ACO ...a software framework for ACO [9] that we used for our ...
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Prototyping an algorithm for parameter tuning of Software cost estimation in agile software methodology using human opinion dynamics
... before software production, agile teams elicit feedback early on in the process, and deal with the complexities of software development by practicing rapid iterative development from project ...many ...
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From Parameter Tuning to Dynamic Heuristic Selection
... To overcome the sparseness issue we propose a complex solution, which is spread in both search space structure and sampling process. For the APSP representation we suggest using a data structure, similar to feature trees ...
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Parameter tuning for the NFFT based fast Ewald summation
... splitting parameter α and the far field cutoff M very much influences which window function performs best in terms of ...and software which set of parameters is optimal with respect to ...
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A nested heuristic for parameter tuning in Support Vector Machines
... of parameter tuning in Support Vector ...that parameter models are usually nested is successfully exploited in our version of VNS, called nested VNS, in which the parameters obtained as output when ...
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A nested heuristic for parameter tuning in Support Vector Machines
... of parameter tuning in Support Vector ...that parameter models are usually nested is successfully exploited in our version of VNS, called nested VNS, in which the parameters obtained as output when ...
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FDR data as a source for flying events visualisation and aircraft parameter estimation
... Also software application contributes to flight events prediction and to the avoidance of the potential risk ...The software simulation is developed to analyze, in an objective manner, the premises of a ...
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VERITAS NETBACKUP SOFTWARE PERFORMANCE TUNING
... NetBackup software can perform multiple restores from a single multiplexed ...NUMBER_DATA_BUFFERS_RESTORE parameter enables other NetBackup processes to stay busy while a multiplexed tape is being ...
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Software architecture visualisation
... Hatch, Andrew (2004) Software architecture visualisation, Durham theses, Durham University. Available at Durham E-Theses Online: http://etheses.dur.ac.uk/3040/ Use policy The full-text may be used and/or ...
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Parameter tuning for numerical optimization algorithms
... algorithm’s parameter settings on its perfor- mance thus using the default ...Automatic parameter tuning methods can be used to improve performance without any expert knowledge or experience ...
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Parameter Tuning Using Gaussian Processes
... Another alternative is Random Search, which is a simple but powerful search tool to explore new samples. In this case, the random number generator is used to choose new samples; in other words, there is no relationship ...
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Tag clouds in software visualisation.
... Dynamic software analysis involves the collection of data during the execution of the ...of software that has been executed, and memory analysis tools track the memory usage of the software in order ...
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Tag clouds in software visualisation.
... term software engineering, coined half a century ago, has long been associated with the challenges arising from the software crisis ...scaling software development to cope with systems of ...
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Toward the Online Visualisation of Algorithm Performance for Parameter Selection
... 5.2 DTLZ1 Fig. 5 presents two snapshots from the execution of DTLZ1 using the Pareto sorting optimiser (generations 33 and 96). As can be seen, by this early stage in the optimisation process the algorithm has already ...
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Parameter tuning of PI-controller with Bat algorithm
... for parameter tuning of robotic ...of tuning should be ...of tuning is a manual ...last parameter could be simply compared to algorithm’s ...
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Automatic Parameter Tuning of Motion Planning Algorithms
... Automatic Parameter Tuning of Motion Planning Algorithms Jos´e Cano, Yiming Yang, Bruno Bodin, Vijay Nagarajan, and Michael O’Boyle School of Informatics, University of Edinburgh, UK Abstract— Motion ...
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Statistical methods for parameter fine-tuning of metaheuristics
... the parameter values of the ...the Parameter Tuning Strategies, which aim to find a robust set of parameter values for a group of instances by using statistical techniques, the ...
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Micro injection moulding process parameter tuning
... on tuning the micro injection moulding process ...each parameter was employed to produce the design of a 15 mm x 20 mm x 1 mm microfluidic platform using Cyclic Olefin Copolymer (COC), a common ...
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