Essays about: "Accuracy analysis"
Showing result 1 - 5 of 1766 essays containing the words Accuracy analysis.
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1. Feature Selection for Microarray Data via Stochastic Approximation
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : This thesis explores the challenge of feature selection (FS) in machine learning, which involves reducing the dimensionality of data. The selection of a relevant subset of features from a larger pool has demonstrated its effectiveness in enhancing the performance of various machine learning algorithms. READ MORE
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2. Prevalent Discord. Exploring and estimating the prevalence of the type of user disagreement on news media Facebook posts discussing the Colombian peace process (2020-2022)
University essay from Lunds universitet/Graduate SchoolAbstract : This thesis is dedicated to exploring and understanding public reactions within negotiated peace settlements based on social media data. Concretely, to modeling public opinion and sentiment within the context of the Colombian peace process using a curated dataset of N= ~1. READ MORE
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3. Process parameter optimisation for Waspaloy using Laser-Directed Energy Deposition with Powder
University essay from Högskolan Väst/Institutionen för ingenjörsvetenskapAbstract : Material utilisation is of importance in the manufacturing industry formaking the most of each material, minimising waste and increasing cost-effectiveness. In this thesis, samples of Waspaloy built with the method of L-DED-P has been analysed in order to investigate how process pa-rameters influence the build quality and geometrical accuracy in as-builtobjects. READ MORE
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4. Hunting the hunters - Evaluating a new method of Geographic Profiling
University essay from Lunds universitet/Statsvetenskapliga institutionenAbstract : Geographic Profiling (GP) may be used when searching for an unknown offender by applying mathematical algorithms to geographical information. This thesis aimed to contribute to improvement of the efficiacy of GP’s produced by law enforcement by evaluating a the new Spaulding/Morris Centrographic (SMC)-method of GP that claims to counteract two of the main difficulties when constructing a GP in a real world investigation: 1. READ MORE
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5. Station-level demand prediction in bike-sharing systems through machine learning and deep learning methods
University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapAbstract : Public Bike-Sharing systems have been employed in many cities around the globe. Shared bikes are an efficient and convenient means of transportation in advanced societies. Nonetheless, station planning and local bike-sharing network effectiveness can be challenging. READ MORE