Sökning: "supervised machine learning"

Visar resultat 31 - 35 av 87 avhandlingar innehållade orden supervised machine learning.

  1. 31. Human mobility behavior : Transport mode detection by GPS data

    Författare :Paria Sadeghian; Johan Håkansson; Xiaoyun Zhao; Kenneth Carling; Gyözö Gidofalvi; Högskolan Dalarna; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Transport mode detection; Machine learning; Statistical learning; Rule-based method; Data labeling;

    Sammanfattning : GPS tracking data are widely used to understand human travel behavior and to evaluate the impact of travel. A major advantage with the usage of GPS tracking devices for collecting data is that it enables the researcher to collect large amounts of highly accurate and detailed human mobility data. LÄS MER

  2. 32. Predicting Linguistic Structure with Incomplete and Cross-Lingual Supervision

    Författare :Oscar Täckström; Joakim Nivre; Jussi Karlgren; Ryan McDonald; Hal Daumé III; Uppsala universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; linguistic structure prediction; structured prediction; latent-variable model; semi-supervised learning; multilingual learning; cross-lingual learning; indirect supervision; partial supervision; ambiguous supervision; part-of-speech tagging; dependency parsing; named-entity recognition; sentiment analysis; Computational Linguistics; Datorlingvistik;

    Sammanfattning : Contemporary approaches to natural language processing are predominantly based on statistical machine learning from large amounts of text, which has been manually annotated with the linguistic structure of interest. However, such complete supervision is currently only available for the world's major languages, in a limited number of domains and for a limited range of tasks. LÄS MER

  3. 33. Learning to Assess Grasp Stability from Vision, Touch and Proprioception

    Författare :Yasemin Bekiroglu; Danica Kragic; Erhan Oztop; KTH; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Robotic grasping; Machine Learning; Tactile Sensing;

    Sammanfattning : Grasping and manipulation of objects is an integral part of a robot’s physical interaction with the environment. In order to cope with real-world situations, sensor based grasping of objects and grasp stability estimation is an important skill. LÄS MER

  4. 34. Resources and Applications for Dialectal Arabic: the Case of Levantine

    Författare :Chatrine (kathrein) Qwaider (abu kwaik); Göteborgs universitet; []
    Nyckelord :HUMANIORA; HUMANITIES; NATURVETENSKAP; NATURAL SCIENCES; Dialectal Arabic Natural Language Processing; Computational Linguistics; Dialect Identification; Sentiment Analysis; Machine Learning; Deep Learning; Language modelling; Natural Language processing;

    Sammanfattning : This is a thesis about the computational study of Dialectal Arabic (DA). In particular, the thesis studies DA, with a special emphasis on Levantine Arabic, and develops tools and resources for the computational study of Dialectal Arabic Natural Language Processing (DANLP). LÄS MER

  5. 35. Ensembles of Semantic Spaces : On Combining Models of Distributional Semantics with Applications in Healthcare

    Författare :Aron Henriksson; Hercules Dalianis; Martin Duneld; Nigel Collier; Stockholms universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; natural language processing; machine learning; distributional semantics; ensemble learning; semantic space ensembles; medical informatics; electronic health records; Computer and Systems Sciences; data- och systemvetenskap;

    Sammanfattning : Distributional semantics allows models of linguistic meaning to be derived from observations of language use in large amounts of text. By modeling the meaning of words in semantic (vector) space on the basis of co-occurrence information, distributional semantics permits a quantitative interpretation of (relative) word meaning in an unsupervised setting, i. LÄS MER