Sökning: "Jordan Boyd-Graber"

Hittade 2 avhandlingar innehållade orden Jordan Boyd-Graber.

  1. 1. Scalable and Efficient Probabilistic Topic Model Inference for Textual Data

    Författare :Måns Magnusson; Mattias Villani; Marco Kuhlmann; Jordan Boyd-Graber; Linköpings universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Text analysis; Bayesian inference; Markov chain Monte Carlo; topic models; Textanalys; Bayesiansk inferens; Markov chain Monte Carlo; temamodeller;

    Sammanfattning : Probabilistic topic models have proven to be an extremely versatile class of mixed-membership models for discovering the thematic structure of text collections. There are many possible applications, covering a broad range of areas of study: technology, natural science, social science and the humanities. LÄS MER

  3. 2. Structured Representation Using Latent Variable Models

    Författare :Cheng Zhang; Hedvig Kjellström; Jordan Boyd-Graber; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Computer Science; Datalogi;

    Sammanfattning : Over the past two centuries the industrial revolution automated a great part of work that involved human muscles. Recently, since the beginning of the 21st century, the focus has shifted towards automating work that is involving our brain to further improve our lives. LÄS MER