Essays about: "algorithm study"
Showing result 1 - 5 of 1568 essays containing the words algorithm study.
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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. Predicting True Sepsis and Culture-positive Sepsis in Intensive Care Unit with Machine Learning Techniques
University essay from Lunds universitet/Matematisk statistikAbstract : Sepsis, a serious medical condition often leading to patients requiring intensive care, has prompted numerous scientists to employ mathematical techniques to aid in its diagnosis. This thesis uses logistic regression and a machine learning technique, XGBoost, to predict true sepsis (as opposed to sepsis mimics) and culture-positive sepsis (among true sepsis) in critical care using blood test results, physiological measurements and other patient characteristics. READ MORE
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3. Comparison of VADER and Pre-Trained RoBERTa: A Sentiment Analysis Application
University essay from Lunds universitet/Statistiska institutionenAbstract : Purpose: The purpose of this study is to examine how the overall sentiment results from VADER and a pre-trained RoBERTa model differ. The study investigates potential differences in terms of the median and shape of the two distributions. Data: The sustainability reports of 50 independent random companies are selected as the sample. READ MORE
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4. Heritability of methane emission in Swedish Red cattle in northern Sweden
University essay from SLU/Dept. of Animal Breeding and GeneticsAbstract : Dairy cattle contribute a significant proportion of greenhouse gases (GHG), mainly methane (CH4), among other livestock species. Methane has a negative impact on climate; therefore, its reduction is a top priority for a sustainable dairy production system. READ MORE
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5. Tau-Leaping Implementations outside of chemistry
University essay from Lunds universitet/Statistiska institutionenAbstract : Tau-leaping is an algorithm for model simulations most often used in kinetic chemistry. It was created to make simulations more efficient at the cost of some accuracy. However, its uses outside of chemistry are limited but could help make some model simulations more efficient. READ MORE
