Essays about: "Dirichlet model"
Showing result 1 - 5 of 47 essays containing the words Dirichlet model.
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1. Construction and Evaluation of a Numerical Model for Heat Transfer in a Ladle During Pre-heating : A Finite Volume Approach to the Diffusion Equation using Julia
University essay from KTH/MaterialvetenskapAbstract : Heat transfer is key to understanding many processes in engineering. At a steel mill heat transfer is absolutely crucial to understanding most of the processes. One such a process is the pre-heating of a freshly relined ladle. READ MORE
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2. Mining the Skies: An Exploration of Airline Reviews using LDA
University essay from Lunds universitet/Nationalekonomiska institutionen; Lunds universitet/Statistiska institutionenAbstract : Airlines face a highly competitive industry requiring large capital investment at thin profit margins. In addition, the carriers are re-emerging from the COVID-19 pandemic; a time period which brought the industry to a standstill and revenue streams to an unforeseen low. READ MORE
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3. Overcoming The New Item Problem In Recommender Systems : A Method For Predicting User Preferences Of New Items
University essay from Stockholms universitet/Statistiska institutionenAbstract : This thesis addresses the new item problem in recommender systems, which pertains to the challenges of providing personalized recommendations for items which have limited user interaction history. The study proposes and evaluates a method for generating personalized recommendations for movies, shows, and series on one of Sweden’s largest streaming platforms. READ MORE
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4. Recommender System Using Online Latent Dirichlet Allocation And Wikipedia
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : With the vast amount of natural language data that is widely availabletoday there is an increased demand in being able to process, analyzeand explore large corpora of texts efficiently. One method to explorethese corpora is by creating a recommender system based on the texts.The most common recommender system to this end is what is knownas Google. READ MORE
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5. Uncertainty quantification for neural network predictions
University essay from Umeå universitet/StatistikAbstract : Since their inception, machine learning methods have proven useful, and their usability continues to grow as new methods are introduced. However, as these methods are used for decision-making in most fields, such as weather forecasting,medicine, and stock market prediction, their reliability must be appropriately evaluated before the models are deployed. READ MORE