Essays about: "prediktion"
Showing result 16 - 20 of 145 essays containing the word prediktion.
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16. Supervised classification for human movement data : A comparative study of functional and traditional methods
University essay from Umeå universitet/StatistikAbstract : Functional data analysis (FDA) has a growing importance in statistics, especially in disciplines like biomechanics, where it is common to observe data over time. The objective of this thesis is to employ FDA techniques and compare the classification performance of supervised classification models utilizing functional data with the same models using a discrete summary measurement (max-values) as input. READ MORE
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17. A Comparative Study on the Effects of Removing the Most Important Feature on Random Forest and Support Vector Machine
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Machine learning (ML) for classification is largely regarded as a “black box”, in that it’s difficult to fully understand how the model reached a decision, and how changes to the input affects the output. Therefore, exploring the inner workings of classification models are of interest for expanding the current knowledge base, providing guidelines for choosing a more suitable classification model for a specific problem. READ MORE
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18. Predicting the Options Expiration Effect Using Machine Learning Models Trained With Gamma Exposure Data
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The option expiration effect is a well-studied phenome, however, few studies have implemented machine learning models to predict the effect on the underlying stock market due to options expiration. In this paper four machine learning models, SVM, random forest, AdaBoost, and LSTM, are evaluated on their ability to predict whether the underlying index rises or not on the day of option expiration. READ MORE
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19. Knowledge Distillation of DNABERT for Prediction of Genomic Elements
University essay from KTH/Skolan för kemi, bioteknologi och hälsa (CBH)Abstract : Understanding the information encoded in the human genome and the influence of each part of the DNA sequence is a fundamental problem of our society that can be key to unveil the mechanism of common diseases. With the latest technological developments in the genomics field, many research institutes have the tools to collect massive amounts of genomic data. READ MORE
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20. The Most Influential Team Attributes When Predicting Start-up Success : A quantitative study of 25 430 European new ventures
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : Digitisation, quantitative analysis, and data-driven methods have been used for investment decision support for more than two decades within the finance sector, however there are great differences of its adoption in different parts of the financial market. One part of the market that has not yet achieved a high level of adoption is the Venture capital (VC) industry. READ MORE
