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Showing result 1 - 5 of 83 essays matching the above criteria.

1. 1. Regularization Methods and High Dimensional Data: A Comparative Study Based on Frequentist and Bayesian Methods

   University essay from Lunds universitet/Statistiska institutionen

   Author : Markus Gerholm; Johan Sörstadius; [2024]
   Keywords : Linear regression; high dimensional data; regularization; Bayesian methods; Mathematics and Statistics;

   Abstract : As the amount of high dimensional data becomes increasingly accessible and common, the need for reliable methods to combat problems such as overfitting and multicollinearity increases. Models need to be able to manage large data sets where predictor variables often outnumber the amount of observations. READ MORE

3. 2. IDENTIFYING HATE SPEECH IN SOCIAL MEDIA THROUGH CONTENT AND SOCIAL CONNECTIONS ANALYSIS

   University essay from Göteborgs universitet / Institutionen för filosofi, lingvistik och vetenskapsteori

   Author : Milan Stanišić; [2023-06-19]
   Keywords : hate speech; social media; natural language processing; classification;

   Abstract : Hate speech is a problem which puts its targets at risk of serious harm. It spreads fast and has a real influence on the society because of the ubiquity of the internet and social media, and so various research efforts have been put to find solutions to automatic hate speech detection. READ MORE

4. 3. Predicting Patent Data using Wavelet Regression and Bayesian Machine Learning

   University essay from KTH/Matematik (Avd.)

   Author : Mattias Martinsen; [2023]
   Keywords : Wavelet; Regression; Bayesian network; Prediction; Patent; Machine Learning; Wavelet; Regression; Bayesiskt nätverk; Predicering; Patent; Maskininlärning;

   Abstract : Patents are a fundamental part of scientific and engineering work, ensuringprotection of inventions owned by individuals or organizations. Patents areusually made public 18 months after being filed to a patent office, whichmeans that current publicly available patent data only provides informationabout the past. READ MORE

5. 4. Study of evaluation metrics while predicting the yield of lettuce plants in indoor farms using machine learning models

   University essay from Högskolan i Skövde/Institutionen för informationsteknologi

   Author : Divya Chedayan; Harry Geo Fernandez; [2023]
   Keywords : machine learning; lettuce yield prediction; Regression; SVR; RF; DNN; MAE; MSE; RMSE; R-squared; Adjusted R-squared;

   Abstract : A key challenge for maximizing the world’s food supply is crop yield prediction. In this study, three machine models are used to predict the fresh weight (yield) of lettuce plants that are grown inside indoor farms hydroponically using the vertical farming infrastructure, namely, support vector regressor (SVR), random forest regressor (RFR), and deep neural network (DNN). READ MORE

6. 5. Finding the QRS Complex in a Sampled ECG Signal Using AI Methods

   University essay from KTH/Fysik

   Author : Jeanette Marie Victoria Skeppland Hole; [2023]
   Keywords : ECG; ECG-analysis; QRS detector; Artificial Intelligence; Machine Learning; Deep neural networks; Long short-term memory; Convolutional neural network; Multilayer perceptron; EKG; EKG-analys; QRS detektor; Artificiell intelligens; Maskininlärning; Djupa neurala nätverk; Long short-term memory; Convolutional neural network; Multilayer perceptron;

   Abstract : This study aimed to explore the application of artificial intelligence (AI) and machine learning (ML) techniques in implementing a QRS detector forambulatory electrocardiography (ECG) monitoring devices. Three ML models, namely long short-term memory (LSTM), convolutional neural network (CNN), and multilayer perceptron (MLP), were compared and evaluated using the MIT-BIH arrhythmia database (MITDB) and the MIT-BIH noise stress test database (NSTDB). READ MORE