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Search Results - Algorithmic training
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Mining continuous classes using evolutionary computing
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End-to-End Autonomous Quadcopter using Reinforcement Learning
Published 2024“…Addressing this challenge will require developing RL algorithms that can either adapt to these variations online or learn from a diverse set of training environments. …”
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Investigating the use of ray tracing for signal-level radar simulation in space monitoring applications: a comparison of radio propagation models
Published 2023“…This work thus aimed to investigate and design possible tools that could be used for training, testing and research purposes, and thereby aid further study in the field. …”
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A machine learning hybrid approach to forecasting equity returns volatility: A South African perspective.
Published 2025“…This research considered daily prices of the JSE ALSI from January 2004 to December 2022, where 80% of the dataset was used for training purposes and 20% was used for testing purposes. …”
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Robust star identification using a neural network
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Learning decentralized policies with incremental reinforcement learning, reward shaping and self-play learning.
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Probabilistic tree transducers for grammatical error correction
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Scaling multi-agent reinforcement learning to eleven aside simulated robot soccer
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Radio Frequency Interference: Simulations for Radio Interferometry Arrays
Published 2021“…Unfortunately, due to the lack of training data for which the true RFI contamination is known, it is impossible to reliably train and compare machine learning algorithms for RFI excision on radio telescope arrays currently. …”
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Distributed autonomous intersection management with neuro-evolution
Published 2022“…Neuro-Evolution has shown promise in the field of controller development, due to its ability to develop complex behaviour without a need for any labelled training data. It has been applied previously in car controller generation, across many fields. …”
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Phonene-based topic spotting on the switchboard corpus
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Decision tree development for land cover classification in the Eastern Cape
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Deep learning based methods for tuberculosis cough classification
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Implementation of fast airborne synthetic aperture radar simulation
Published 2024“…Since nowadays the modem aircraft may be fitted with SAR facility, the aim of this dissertation is to develop fast algorithms for a fast or real-time like SAR simulator which could aid in airplane pilot training. …”
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An Epileptic Seizure Detection Method from EEG Signals based on a Classifier-Driven Feature Reduction Technique
Published 2023“…This thesis work aims to develop a robust and stable algorithm for epileptic seizure detection through the classification of EEG signals. …”
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Application of convolutional neural networks to building segmentation in aerial images
Published 2018Get full text
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User Profiling through Zero-Permission Sensors and Machine Learning
Published 2023“…We then pass this processed training data through machine learning algorithms, enabling accurate user profiling without the need for explicit information gathering. …”
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