Essays about: "evaluation metrics"
Showing result 31 - 35 of 548 essays containing the words evaluation metrics.
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31. Dataset characteristics effect on time series forecasting : comparison of statistical and deep learning models
University essay from Högskolan i Halmstad/Akademin för informationsteknologiAbstract : Time series are points of data measured throughout time in equally spaced periods. They present characteristics such as level, noise, trend, seasonality, and outliers. Time series forecasting is the attempt to predict single or multiple future values. READ MORE
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32. Plant yield prediction in indoor farming using machine learning
University essay from Högskolan i Skövde/Institutionen för informationsteknologiAbstract : Agricultural industry has started to rely more on data driven approaches to improve productivity and utilize their resources effectively. This thesis project was carried out in collaboration with Ljusgårda AB, it explores plant yield prediction using machine learning models and hyperparameter tweaking. READ MORE
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33. Quantification of hand jerk asymmetry for infants in hemiplegic cerebral palsy assessment
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Hemiplegic cerebral palsy (HCP) is the most common form of cerebral palsy (CP) and affects roughly 1 in 400 infants. Unable to properly use the arm and leg of one side of the body, the disorder can have major negative impacts on a person’s life. New and improved methods of treating HCP have emerged in recent decades. READ MORE
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34. Towards gradient faithfulness and beyond
University essay from Högskolan i Halmstad/Akademin för informationsteknologiAbstract : The riveting interplay of industrialization, informalization, and exponential technological growth of recent years has shifted the attention from classical machine learning techniques to more sophisticated deep learning approaches; yet its intrinsic black-box nature has been impeding its widespread adoption in transparency-critical operations. In this rapidly evolving landscape, where the symbiotic relationship between research and practical applications has never been more interwoven, the contribution of this paper is twofold: advancing gradient faithfulness of CAM methods and exploring new frontiers beyond it. READ MORE
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35. Artificial Neural Networks for Financial Time Series Prediction
University essay from Stockholms universitet/Institutionen för data- och systemvetenskapAbstract : Financial market forecasting is a challenging and complex task due to the sensitivity of the market to various factors such as political, economic, and social factors. However, recent advances in machine learning and computation technology have led to an increased interest in using deep learning for forecasting financial data. READ MORE
