Essays about: "exhaustive algorithm"
Showing result 1 - 5 of 23 essays containing the words exhaustive algorithm.
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1. Minimization of Model-based Tests in Modbat
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Model-based testing (MBT) is a promising testing method with advantages like exhaustive exploration and high maintainability. However, one notable downside is that the generated tests usually contain much unnecessary noise. READ MORE
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2. Optimization of Physical Uplink Resource Allocation in 5G Cellular Network using Monte Carlo Tree Search
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The Physical Uplink Control Channel (PUCCH), which is mainly used to transmit Uplink Control Information (UCI), is a key component to enable the 5G NR system. Compared to LTE, NR specifies a more flexible PUCCH structure to support various applications and use cases. READ MORE
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3. Automatic Development of Pharmacokinetic Structural Models
University essay from Uppsala universitet/Institutionen för farmaciAbstract : Introduction: The current development strategy of population pharmacokinetic models is a complex and iterative process that is manually performed by modellers. Such a strategy is time-demanding, subjective, and dependent on the modellers’ experience. READ MORE
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4. Search methods for Strategy Synthesis for Multi-Agent Games of Imperfect Information
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Finding strategies for agents in multi-agent systems of imperfect information is a difficult and time-consuming endeavor. It is thus of interest to find ways of doing this more effectively. This study aims to improve the performance of a strategy synthesizer tool by testing two search techniques and evaluating their performance. READ MORE
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5. Hyperparameter Tuning Using Genetic Algorithms : A study of genetic algorithms impact and performance for optimization of ML algorithms
University essay from Mittuniversitetet/Institutionen för informationssystem och –teknologiAbstract : Maskininlärning har blivit allt vanligare inom näringslivet. Informationsinsamling med Data mining (DM) har expanderats och DM-utövare använder en mängd tumregler för att effektivisera tillvägagångssättet genom att undvika en anständig tid att ställa in hyperparametrarna för en given ML-algoritm för nå bästa träffsäkerhet. READ MORE