Sökning: "Decision trees"

Visar resultat 11 - 15 av 61 avhandlingar innehållade orden Decision trees.

  1. 11. Affective Decision Making in Artificial Intelligence : Making Virtual Characters With High Believability

    Författare :Anja Johansson; Pierangelo Dell’Acqua; Stefan Gustavson; Henning Christiansen; Linköpings universitet; []
    Nyckelord :Artificial intelligence; emotions; decision making; pathfinding;

    Sammanfattning : Artificial intelligence is often used when creating believable virtual characters in games or in other types of virtual environments. The intelligent behavior these characters show to the player is often flawed, leading to a worse gameplay experience. LÄS MER

  3. 12. Automated Gravel Road Condition Assessment : A Case Study of Assessing Loose Gravel using Audio Data

    Författare :Nausheen Saeed; Moudud Alam; Roger G. Nyberg; Diala Jomaa; Mirka Kans; Högskolan Dalarna; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Gravel roads; road maintenance; convolutional neural network CNN ; SVM; decision trees; ensemble bagged trees; GoogLeNet; ResNet50; ResNet18; sound analysis;

    Sammanfattning : Gravel roads connect sparse populations and provide highways for agriculture and the transport of forest goods. Gravel roads are an economical choice where traffic volume is low. In Sweden, 21% of all public roads are state-owned gravel roads, covering over 20,200 km. LÄS MER

  4. 13. Behavior Trees in Robotics

    Författare :Michele Colledanchise; Petter Ögren; Dimos Dimarogonas; Yiannis Karayiannidis; Dana Nau; KTH; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Computer Science; Datalogi;

    Sammanfattning : Behavior Trees (BTs) are a Control Architecture (CA) that was invented in the video game industry, for controlling non-player characters. In this thesis we investigate the possibilities of using BTs for controlling autonomous robots, from a theoretical as well as practical standpoint. LÄS MER

  5. 14. Scalable Machine Learning through Approximation and Distributed Computing

    Författare :Theodore Vasiloudis; Anders Holst; Henrik Boström; Seif Haridi; Daniel Gillblad; Indre Žliobaitė; KTH; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Online Learning; Distributed Computing; Graph Similarity; Decision Trees; Gradient Boosting;

    Sammanfattning : Machine learning algorithms are now being deployed in practically all areas of our lives. Part of this success can be attributed to the ability to learn complex representations from massive datasets. LÄS MER

  7. 15. Modelling Phone-Level Pronunciation in Discourse Context

    Författare :Per-Anders Jande; Rolf Carlson; Merle Horne; KTH; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Pronunciation modelling; Pronunciation variation; Discourse-context; Phone-level variation; Central standard Swedish; Spoken language annotation; Data-driven methods; Machine learning; Decision trees; Pronunciation lexicon development; Machine-readable lexicon; Phonology; Discourse; Lexicon; Language technology; Språkteknologi;

    Sammanfattning : Analytic knowledge about the systematic variation in a language has an important place in the description of the language. Such knowledge is interesting e.g. in the language teaching domain, as a background for various types of linguistic studies, and in the development of more dynamic speech technology applications. LÄS MER