Search for dissertations about: "Distributed Models"

Showing result 1 - 5 of 540 swedish dissertations containing the words Distributed Models.

  2. 1. Distributed Immersive Participation : Realising Multi-Criteria Context-Centric Relationships on an Internet of Things

    Author : Jamie Walters; Theo Kanter; Roch Glitho; Stockholms universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; pervasive computing; ubiquitous computing; mediasense; context; context awareness; context centric; peer-to-peer; immersive participation; multi-criteria context; context proximity; context distance; evolving context; context-aware query languages; publish.subscribe; distributed context awareness; sensor information; context information; context models; context relationships; context relations; Computer and Systems Sciences; data- och systemvetenskap;

    Abstract : Advances in Internet-of-Things integrate sensors and actuators in everyday items or even people transforming our society at an accelerated pace. This occurs in areas such as agriculture, logistics, transport, healthcare, and smart cities and has created new ways to interact with and experience entertainment, (serious) games, education, etc. READ MORE

  4. 2. Exploring models of time processing : effects of training and modality, and the relationship with cognition in rhythmic motor tasks

    Author : Olympia Karampela; Guy Madison; Linus Holm; Fredrik Ullén; Simon Grondin; Umeå universitet; []
    Keywords : SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; timing; motor timing; cogntion; dedicated models; intrinsic models; timing variability;

    Abstract : Timing can be defined as the ability to perceive temporal sequences and regulate timed behaviors. As in other animals, our ability to make accurate time estimations is crucial in order to accomplish several activities. Organisms can process time over a wide range of durations ranging from microseconds to days. READ MORE

  5. 3. Generalization under Model Mismatch and Distributed Learning

    Author : Martin Hellkvist; Ayca Özcelikkale; Anders Ahlén; Martin Jaggi; Uppsala universitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Machine learning; Signal processing; Generalization error; Training error; Double-descent; Double descent; Distributed learning; Distributed optimization; Learning over networks; Model mismatch; Model misspecification; Fake features; Missing features; linear regression; regularization; Machine learning; Maskininlärning;

    Abstract : Machine learning models are typically configured by minimizing the training error over a given training dataset. On the other hand, the main objective is to obtain models that can generalize, i.e., perform well on data unseen during training. READ MORE

  6. 4. A Distributed Haskell for the Modern Web

    Author : Anton Ekblad; Chalmers tekniska högskola; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; programming languages; distributed systems; web development; interoperability; programming models; functional programming; compiler;

    Abstract : We present the design and implementation of a novel programming model andsoftware development suite for interactive, distributed web applications usingthe Haskell programming language.The suite includes the JavaScript-targeting Haste Haskell compilerwhich improves on the current state of the art by producing smaller and leanerJavaScript code while preserving compatibility with standard Haskell aswell as with the de facto standard GHC compiler. READ MORE

  7. 5. Overload control strategies for distributed communication networks

    Author : Maria Kihl; Institutionen för elektro- och informationsteknik; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; resource allocation; simulation models; TINA; Intelligent Networks; distributed systems; performance analysis; overload control; Telecommunication engineering; Telekommunikationsteknik;

    Abstract : In distributed communication networks several nodes interact to carry out services. New telecommunication networks support a variety of services, much different from traditional telephony. Each service has its own so called load profile, which means that the amount of capacity needed to complete a service varies. READ MORE