Essays about: "Label Propagation"
Showing result 1 - 5 of 9 essays containing the words Label Propagation.
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1. Development of a Rule Based Decision Support System for Pilots : Using Network Analysis, Label Propagation and Association Rule Mining
University essay from Linköpings universitet/Institutionen för systemteknikAbstract : Maneuvering a fighter jet is not easy, and new methods for minimizing the risk of pilots experiencing information overload are constantly under development. Saab is currently looking into the possibilities of creating a decision support system (DSS) for pilots in situations where multiple independent system failures occur simultaneously. READ MORE
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2. Hawkes Processes on Socialand Mass Media: : A Causal Study of the #BlackLivesMatter Movement inthe Summer of 2020
University essay from Uppsala universitet/Statistik, AI och data scienceAbstract : In this work we study interactions in social media and the reports in mass media during the Black LivesMatter (BLM) protests following the death of George Floyd. We implement open-source pipelines to process the data at scale and employ the self-exciting counting process known as Hawkes process to address our main question: is there a causal relation between interactions in social media and reports of street protests in mass media? Specifically, we use distributed label propagation to identify such interactions in Twitter, that supported the BLM movement, and compared the timing of these interaction to those of news reports of street protests mentioning George Floyd, via the Global Database of Events, Language, and Tone (GDELT) Project. READ MORE
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3. Semi-supervised Sentiment Analysis for Sentence Classification
University essay from Uppsala universitet/Institutionen för lingvistik och filologiAbstract : In our work, we deploy semi-supervised learning methods to perform Sentiment Analysis on a corpus of sentences, meant to be labeled as either happy, neutral, sad, or angry. Sentence-BERT is used to obtain high-dimensional embeddings for the sentences in the training and testing sets, on which three classification methods are applied: the K-Nearest Neighbors classifier (KNN), Label Propagation, and Label Spreading. READ MORE
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4. Network Graph AnalysisCategorizing Private Individuals and Private Firms in a Bank
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : This study deals with classifying private individuals and private firmsthrough transaction data of a financial institution. Private firm(Enskild Firma) in Sweden is difficult to distinguish from privateindividual through transactions as it is owned by a sole trader who hasa small business. READ MORE
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5. Presence detection by means of RF waveform classification
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : This master thesis investigates the possibility to automatically label and classify radio waves for presence detection, where the objective is to obtain information about the number of people in a room based on channel estimates. Labeling data for machine learning is time consuming and tedious process. To address this two approaches are evaluated. READ MORE
