Sökning: "man and the machine"

Visar resultat 11 - 15 av 126 avhandlingar innehållade orden man and the machine.

  1. 11. Synergies between Chemometrics and Machine Learning

    Författare :Rickard Sjögren; Johan Trygg; Olivier Cloarec; Ola Spjuth; Umeå universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; computational science; machine learning; chemometrics; multivariate data analysis; design of experiments; data science; beräkningsvetenskap; maskininlärning; kemometri; multivariat dataanalys; experimentdesign;

    Sammanfattning : Thanks to digitization and automation, data in all shapes and forms are generated in ever-growing quantities throughout society, industry and science. Data-driven methods, such as machine learning algorithms, are already widely used to benefit from all these data in all kinds of applications, ranging from text suggestion in smartphones to process monitoring in industry. LÄS MER

  3. 12. Business and governance models for DTN-based internet access : Gender and cultural considerations and application cases using open source software and design principles for ICT commons

    Författare :Barbro Fransson; Annica Sandström; Luleå tekniska universitet; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Genus och teknik; Gender and Technology; Man Machine Relation Focusing Gender; Människa-maskin med inriktning mot genusforskning;

    Sammanfattning : Great effort is being made to get Europe out of its economic crisis and prepare the European economy for the next decade. The aims of the Digital Agenda are to give all Europeans basic broadband by 2013 and to ensure that by 2020 all Europeans have access to much higher internet speeds. LÄS MER

  4. 13. Towards enhanced sales and operations planning : Using machine learning for decision support in an engineer-to-order context

    Författare :Nils-Erik Ohlson; Jenny Bäckstrand; Maria Riveiro; Hafez Shurrab; Jönköping University; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Engineer-to-order; tactical planning; sales and operations planning; machine learning; trust; konstruktion mot order; taktisk planering; sälj- och verksamhetsplanering; maskininlärning; tillit;

    Sammanfattning : All companies deal with tactical planning questions and decisions, for example balance demand and supply, to be able to create an acceptable delivery ability without too much inventory or resources/capacities. For that, some companies use Sales and Operations Planning (S&OP) as their tactical planning process. LÄS MER

  5. 14. CALL of the Wild : Using language technology in the second language classroom

    Författare :Petter Karlström; Robert Ramberg; Teresa Cerratto-Pargman; Philip Hubbard; Stockholms universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Computer Assisted Language Learning; Human-Computer Interaction; Interaction Design; Language Technology; Sociocultural Theory; Computer and systems science; Data- och systemvetenskap; Man-Machine-Interaction MMI ; människa-maskin-interaktion mmi ;

    Sammanfattning : Technology that analyzes written human language displays compelling possibilities for computer assisted language learning (CALL). Applications may be designed to examine second language students’ free text production in order to suggest improvements, draw attention to selected linguistic elements, provide examples from native language use, etc. LÄS MER

  7. 15. Distributed and federated learning of support vector machines and applications

    Författare :Shirin Tavara; Alexander Schliep; Alexander Karlsson; Lili Jiang; Högskolan i Skövde; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Skövde Artificial Intelligence Lab SAIL ; Skövde Artificial Intelligence Lab SAIL ;

    Sammanfattning : Machine Learning (ML) has achieved remarkable success in solving classification, regression, and related problems over the past decade. In particular the exponential growth of digital data, makes using ML inevitable and necessary to exploit the wealth of information hidden inside the data. LÄS MER