Essays about: "Inference"
Showing result 16 - 20 of 512 essays containing the word Inference.
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16. The impact of pruning Convolutional Neural Networks when classifying skin cancer
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Over the past few years, there have been multiple reports showcasing how Convolutional Neural Networks (CNNs) can be used to classify if skin lesions are cancerous or non-cancerous. However, a limitation of CNNs is the large number of parameters resulting in high computation times. READ MORE
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17. Autoencoder-Based Likelihood-Free Parameter Inference of Gene Regulatory Network
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : Likelihood-free parameter inference is a well-known statistical methodology that estimates the posterior distribution of model parameters even in cases where the likelihood function is intractable. The performance of this method is highly correlated with the learning of summary statistics, which capture the key features from the high dimensional data such as time series. READ MORE
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18. Usage of End-to-End Machine Learning for Self-Driving Vehicle
University essay from Malmö universitet/Fakulteten för teknik och samhälle (TS)Abstract : This thesis is about the usage of a machine learning model for self-driving vehicles running on a small mobile computing unit, in this case, a smartphone. We use NVIDIA’s PilotNet model which is a simple feed-forward machine learning model for steering a vehicle. READ MORE
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19. Estimating eco-friendly driving behavior in various traffic situations, using machine learning
University essay from Linköpings universitet/Institutionen för datavetenskapAbstract : This thesis investigates how various driver signals, signals that a truck driver can interact with, influences fuel consumption and what are the optimal values of these signals in various traffic conditions. More specifically, the objective is to estimate good driver behavior in various traffic conditions and compare bad driver behavior in similar situations to see how performing a specific driver action, changing a driver signal from the bad driver value to the corresponding good driver value impacts the fuel consumption. READ MORE
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20. Object Recognition and Tracking of Bolts: A Comparative Analysis of CNN Models and Computer Vision Techniques : A Comparison of CNN Models and Tracking Algorithms
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The newer generation industry 4.0 focuses on development of both flexibility and autonomy for power tools used by companies in different mechanical areas and assembly lines. One area for automation is the application of computer vision in power tools to detect, identify and track bolts. READ MORE