Sökning: "Network data"

Visar resultat 1 - 5 av 2039 avhandlingar innehållade orden Network data.

  1. 1. Toward higher-order network models

    Författare :Ludvig Bohlin; Martin Rosvall; Ludvig Lizana; Tina Eliassi-Rad; Umeå universitet; []
    Nyckelord :NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; network science; complex systems; complex networks; network analysis; higher-order networks; community detection; citation networks; network modeling; fysik; Physics;

    Sammanfattning : Complex systems play an essential role in our daily lives. These systems consist of many connected components that interact with each other. LÄS MER

  3. 2. Mapping incomplete relational data : networks in ecology & evolution

    Författare :Daniel Edler; Martin Rosvall; Alexandre Antonelli; Renaud Lambiotte; Umeå universitet; []
    Nyckelord :NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; NATURAL SCIENCES; NATURAL SCIENCES; network science; information theory; map equation; community detection; biogeography; evolution;

    Sammanfattning : We live in an interconnected world full of complex systems that cannot be understood simply by analyzing their components. From how genes regulate biological functions to the distribution of life on Earth, we need methods that can analyze systems as a whole. LÄS MER

  4. 3. Data-Centric Network of Things : A Method for Exploiting the Massive Amount of Heterogeneous Data of Internet of Things in Support of Services

    Författare :Bin Xiao; Rahim Rahmani; Theo Kanter; Mika Ylianttila; Stockholms universitet; []
    Nyckelord :ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Internet of Things; Big Data; Artificial Intelligence; Data Supply; Distributed System; Computer and Systems Sciences; data- och systemvetenskap;

    Sammanfattning : Internet of things (IoT) generates massive amount of heterogeneous data, which should be efficiently utilized to support services in different domains. Specifically, data need to be supplied to services by understanding the needs of services and by understanding the environment changes, so that necessary data can be provided efficiently but without overfeeding. LÄS MER

  5. 4. Network Parameterisation and Activation Functions in Deep Learning

    Författare :Martin Trimmel; Matematik LTH; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; NATURAL SCIENCES; deep learning; linear region; network parameterisation; activation function; network calibration; conformal predictnio; tropical algebra; rational function; temperature scaling; network symmetries;

    Sammanfattning : Deep learning, the study of multi-layered artificial neural networks, has received tremendous attention over the course of the last few years. Neural networks are now able to outperform humans in a growing variety of tasks and increasingly have an impact on our day-to-day lives. LÄS MER

  7. 5. Network and gene expression analyses for understanding protein function

    Författare :Oliver Frings; Erik Sonnhammer; Rune Linding; Stockholms universitet; []
    Nyckelord :NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; biological networks; network inference; network analysis; clustering; network module; network crosstalk; expression analysis; gene signature; biomarker; biokemi; inriktning teoretisk kemi; Biochemistry with Emphasis on Theoretical Chemistry;

    Sammanfattning : Biological function is the result of a complex network of functional associations between genes or their products. Modeling the dynamics underlying biological networks is one of the big challenges in bioinformatics. LÄS MER