Essays about: "Probabilistic Machine Learning"
Showing result 1 - 5 of 49 essays containing the words Probabilistic Machine Learning.
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1. Modeling Stoppage Time as a Convolution of Negative Binomials
University essay from Uppsala universitet/Avdelningen för systemteknikAbstract : This thesis develops and evaluates a probabilistic model that estimates the stoppage time in football. Stoppage time represents the additional minutes of play given after the original matchtime is over. It is crucial in determining the course of events during the remainder of a match, thereby affecting the odds of live sports betting. READ MORE
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2. Evaluating the Effect of Meta-Labeling on Equity Market Neutral Strategy
University essay from Lunds universitet/Statistiska institutionenAbstract : This thesis aims to construct an Equity Market Neutral (EMN) strategy framework to predict intraday excess returns of stocks within the S&P 500 index by utilizing machine learning techniques proposed by (López de Prado, 2018). The constructed EMN strategies within the framework utilizes techniques such as Stacked Single Feature Importance (SSFI), sample weighting, Probabilistic Sharpe Ratio (PSR), and meta-labeling. READ MORE
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3. Clinical Assessment of Deep Learning-Based Uncertainty Maps in Lung Cancer Segmentation
University essay from KTH/Skolan för kemi, bioteknologi och hälsa (CBH)Abstract : Prior to radiation therapy planning, tumours and organs at risk need to be delineated. In recent years, deep learning models have opened the possibility of automating the contouring process, speeding up the procedures and helping clinicians. READ MORE
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4. Generation of Synthetic Traffic Sign Images using Diffusion Models
University essay from Linköpings universitet/DatorseendeAbstract : In the area of Traffic Sign Recognition (TSR), deep learning models are trained to detect and classify images of traffic signs. The amount of data available to train these models is often limited, and collecting more data is time-consuming and expensive. READ MORE
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5. Conform with the Wind : Processing short-term ensemble forecasts with conformal based methods for probabilistic wind-speed forecasting
University essay from Lunds universitet/Matematisk statistikAbstract : Forecasting wind has always been an interesting subject, and as large parts of the world are relying more on wind for power production it is becoming even more important to have reliable forecasts. Probabilistic forecasts, where distributions are predicted in contrast to deterministic forecasts, are impor- tant for informed decision making. READ MORE
