Sökning: "Dirichlet Series"

Visar resultat 1 - 5 av 10 uppsatser innehållade orden Dirichlet Series.

1. 1. Multidimensional Classification of Radar Signals : A comparison between unidimensional and multidimensional classification models for pulsed radar signals

   Master-uppsats, Umeå universitet/Institutionen för datavetenskap

   Författare :Max Ek Törmä; [2023]
   Nyckelord :pulsed radar classification; Bayesian Gaussian mixture models; Dirichlet process mixture models; multidimensional radar classification; pulsed radar signals; radar signal classification;

   Sammanfattning : Radar is a technique used by many different types of remote sensing systems to keep track of their surroundings. The transmitted radar signals may carry information that could be used to infer the type of transmitter. Multiple papers have investigated the classification of pulse repetition intervals produced by radar systems. LÄS MER

3. 2. Overcoming The New Item Problem In Recommender Systems : A Method For Predicting User Preferences Of New Items

   Master-uppsats, Stockholms universitet/Statistiska institutionen

   Författare :Alice Jonason; [2023]
   Nyckelord :Recommender systems; Content-based systems; Implicit ratings; Latent Dirichlet Allocation; Vector Space Model;

   Sammanfattning : 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. LÄS MER

4. 3. Out-of-distribution Recognition and Classification of Time-Series Pulsed Radar Signals

   Master-uppsats, KTH/Matematisk statistik

   Författare :Paul Hedvall; [2022]
   Nyckelord :Out-of-Distribution; Gaussian Mixture Models; Dirichlet Process Mixture Models; Deinterleaving; Radar classification; Time-series analysis; Pulsed radar signals; Out-of-Distribution; Gaussian Mixture Models; Dirichlet Process Mixture Models; Deinterleaving; Radar classification; Time-series analysis; Pulsed radar signals;

   Sammanfattning : This thesis investigates out-of-distribution recognition for time-series data of pulsedradar signals. The classifier is a naive Bayesian classifier based on Gaussian mixturemodels and Dirichlet process mixture models. LÄS MER

5. 4. Regularizing An Ill-Posed Problem with Tikhonov’s Regularization

   Kandidat-uppsats, Linköpings universitet/Analys och didaktik; Linköpings universitet/Tekniska fakulteten

   Författare :Herman Singh; [2022]
   Nyckelord :Inverse problem; Ill-posed problems; Tikhonov’s regularization; Fourier series; Helmholtz equation;

   Sammanfattning : This thesis presents how Tikhonov’s regularization can be used to solve an inverse problem of Helmholtz equation inside of a rectangle. The rectangle will be met with both Neumann and Dirichlet boundary conditions. A linear operator containing a Fourier series will be derived from the Helmholtz equation. LÄS MER

7. 5. Can We Predict Business Cycles With Natural Language Processing?

   D-uppsats, Handelshögskolan i Stockholm/Institutionen för nationalekonomi

   Författare :Albert Flak; [2020]
   Nyckelord :Business Cycles; Economic Narratives; Natural Language Processing NLP ; Latent Dirichlet Allocation LDA ; Word Embeddings;

   Sammanfattning : For centuries, many economists have attempted to solve the puzzle of business cycles; what explains them, and is it possible to predict them? The great amount of electronically available textual data, together with the recent advancements in unsupervised natural language processing are bound to offer new ways of analysing these perennial questions. Inspired with the emergence of narrative economics as a new field of economic analysis, I propose a novel research design to computationally extract business cycle sentiment from textual data on economic expectations. LÄS MER