Search for dissertations about: "artificial intelligence art"

Showing result 1 - 5 of 30 swedish dissertations containing the words artificial intelligence art.

  2. 1. Artificial intelligence in weather and climate prediction : Learning atmospheric dynamics

    Author : Sebastian Scher; Gabriele Messori; Roberto Buizza; Stockholms universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; atmosfärvetenskap och oceanografi; Atmospheric Sciences and Oceanography;

    Abstract : Weather and climate prediction is dominated by high dimensionality, interactions on many different spatial and temporal scales and chaotic dynamics. This makes many problems in the field quite complex ones, and also state-of-the-art numerical models are - despite their immense computational costs - not sufficient for many applications. READ MORE

  4. 2. Representation learning for natural language

    Author : Olof Mogren; RISE; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; 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

  5. 3. Supporting human interpretation and analysis of activity captured through overhead video

    Author : Mario Romero; Gregory Abowd; Georgia Institute of Technology; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Ubiquitous computing; Information visualization; Computer vision; User studies; Human-computer interaction; Interactive art; Performance art; Human-computer Interaction; Människa-datorinteraktion;

    Abstract : Many disciplines spend considerable resources studying behavior. Tools range from pen-and-paper observation to biometric sensing. A tool's appropriateness depends on the goal and justification of the study, the observable context and feature set of target behaviors, the observers' resources, and the subjects' tolerance to intrusiveness. READ MORE

  6. 4. Reinforcement Learning and Dynamical Systems

    Author : Björn Lindenberg; Karl-Olof Lindahl; Marc G. Bellemare; Linnéuniversitetet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; artificial intelligence; distributional reinforcement learning; Markov decision processes; Bellman operators; deep learning; multi-armed bandits; Bayesian bandits; conjugate priors; Thompson sampling; linear finite dynamical systems; cycle orbits; fixed-point systems; Mathematics; Matematik; Computer Science; Datavetenskap;

    Abstract : This thesis concerns reinforcement learning and dynamical systems in finite discrete problem domains. Artificial intelligence studies through reinforcement learning involves developing models and algorithms for scenarios when there is an agent that is interacting with an environment. READ MORE

  7. 5. Visual Representations and Models: From Latent SVM to Deep Learning

    Author : Hossein Azizpour; Stefan Carlsson; Barbara Caputo; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Computer Vision; Machine Learning; Artificial Intelligence; Deep Learning; Learning Representation; Deformable Part Models; Discriminative Latent Variable Models; Convolutional Networks; Object Recognition; Object Detection; Computer Science; Datalogi;

    Abstract : Two important components of a visual recognition system are representation and model. Both involves the selection and learning of the features that are indicative for recognition and discarding those features that are uninformative. READ MORE