Search for dissertations about: "natural learning processing"

Showing result 1 - 5 of 124 swedish dissertations containing the words natural learning processing.

  1. 1. Inverse problems in signal processing : Functional optimization, parameter estimation and machine learning

    Author : Pol del Aguila Pla; Joakim Jaldén; Yonina C. Eldar; KTH; []
    Keywords : ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; NATURAL SCIENCES; NATURVETENSKAP; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; NATURVETENSKAP; TEKNIK OCH TEKNOLOGIER; NATURAL SCIENCES; ENGINEERING AND TECHNOLOGY; inverse problems; signal processing; machine learning; biomedical imaging; optimization; proximal optimization; regularization; mathematical modeling; identifiability; likelihood; logconcavity; immunoassays; convolutional coding; functional analysis; abstract inference; learned iterations; unrolled algorithms; Electrical Engineering; Elektro- och systemteknik;

    Abstract : Inverse problems arise in any scientific endeavor. Indeed, it is seldom the case that our senses or basic instruments, i.e., the data, provide the answer we seek. READ MORE

  2. 2. Representation learning for natural language

    Author : Olof Mogren; Chalmers University of Technology; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; artificial neural networks; artificial intelligence; natural language processing; deep learning; machine learning; summarization; representation learning;

    Abstract : Artificial neural networks have obtained astonishing results in a diverse number of tasks. One of the reasons for the success is their ability to learn the whole task at once (endto-end learning), including the representations for data. READ MORE

  3. 3. Deep Learning Applications for Biomedical Data and Natural Language Processing

    Author : Dennis Medved; Institutionen för datavetenskap; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; macine learning; natural language processing; heart transplantation; deep learning;

    Abstract : The human brain can be seen as an ensemble of interconnected neurons, more or less specialized to solve different cognitive and motor tasks. In computer science, the term deep learning is often applied to signify sets of interconnected nodes, where deep means that they have several computational layers. READ MORE

  4. 4. Word Representations for Emergent Communication and Natural Language Processing

    Author : Mikael Kågebäck; Chalmers University of Technology; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Extractive summarisation; Emergent communication; Deep reinforcement learning; Natural language processing; Word Representations; Deep learning; Machine learning; Artificial neural networks;

    Abstract : The task of listing all semantic properties of a single word might seem manageable at first but as you unravel all the context dependent subtle variations in meaning that a word can encompass, you soon realize that precise mathematical definition of a word’s semantics is extremely difficult. In analogy, humans have no problem identifying their favorite pet in an image but the task of precisely defining how, is still beyond our capabilities. READ MORE

  5. 5. Machine learning for spatially varying data

    Author : Muhammad Osama; Dave Zachariah; Mattias Villani; Uppsala universitet; []
    Keywords : NATURAL SCIENCES; NATURVETENSKAP; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; NATURVETENSKAP; TEKNIK OCH TEKNOLOGIER; NATURAL SCIENCES; ENGINEERING AND TECHNOLOGY; Machine learning; spatio-temporal; spatial; Electrical Engineering with specialization in Signal Processing; Elektroteknik med inriktning mot signalbehandling;

    Abstract : Many physical quantities around us vary across space or space-time. An example of a spatial quantity is provided by the temperature across Sweden on a given day and as an example of a spatio-temporal quantity we observe the counts of the corona virus cases across the globe. READ MORE