Advanced search
2 files | 194.68 KB

Command line completion: an illustration of learning and decision making using the imprecise Dirichlet model

Erik Quaeghebeur (UGent) and Gert De Cooman (UGent)
Author
Organization
Abstract
A method of command line completion based on probabilistic models is described. The method supplements the existing deterministic ones. The probabilistic models are developed within the context of imprecise probabilities. An imprecise Dirichlet model is used to represent the assessments about all possible completions and to allow for learning by observing the commands typed previously. Due to the use of imprecise probabilities a partial (instead of a linear) ordering of the possible completion actions will be constructed during decision making. Markov models can additionally be incorporated to take recurring sequences of commands into account.
Keywords
decision making, learning, command line completion, imprecise Dirichlet model, Markov model

Downloads

  • IDMcompletionPoster.pdf
    • full text
    • |
    • open access
    • |
    • PDF
    • |
    • 107.20 KB
  • EQ-2003-PhDsymp-abstract.pdf
    • full text
    • |
    • open access
    • |
    • PDF
    • |
    • 87.48 KB

Citation

Please use this url to cite or link to this publication:

Chicago
Quaeghebeur, Erik, and Gert De Cooman. 2003. “Command Line Completion: An Illustration of Learning and Decision Making Using the Imprecise Dirichlet Model.” In UGent-FTW PhD Symposium, 4th. Ghent, Belgium: Ghent University. Faculty of Engineering.
APA
Quaeghebeur, E., & De Cooman, G. (2003). Command line completion: an illustration of learning and decision making using the imprecise Dirichlet model. UGent-FTW PhD Symposium, 4th. Presented at the 4th FTW PhD Symposium, Ghent, Belgium: Ghent University. Faculty of Engineering.
Vancouver
1.
Quaeghebeur E, De Cooman G. Command line completion: an illustration of learning and decision making using the imprecise Dirichlet model. UGent-FTW PhD Symposium, 4th. Ghent, Belgium: Ghent University. Faculty of Engineering; 2003.
MLA
Quaeghebeur, Erik, and Gert De Cooman. “Command Line Completion: An Illustration of Learning and Decision Making Using the Imprecise Dirichlet Model.” UGent-FTW PhD Symposium, 4th. Ghent, Belgium: Ghent University. Faculty of Engineering, 2003. Print.
@inproceedings{289414,
  abstract     = {A method of command line completion based on probabilistic models is described. The method supplements the existing deterministic ones. The probabilistic models are developed within the context of imprecise probabilities.
An imprecise Dirichlet model is used to represent the assessments about all possible completions and to allow for learning by observing the commands typed previously. Due to the use of imprecise probabilities a partial (instead of a linear) ordering of the possible completion actions will be constructed during decision making. Markov models can additionally be incorporated to take recurring sequences of commands into account.},
  articleno    = {paper no. 065},
  author       = {Quaeghebeur, Erik and De Cooman, Gert},
  booktitle    = {UGent-FTW PhD Symposium, 4th},
  keyword      = {decision making,learning,command line completion,imprecise Dirichlet model,Markov model},
  language     = {eng},
  location     = {Ghent, Belgium},
  pages        = {2},
  publisher    = {Ghent University. Faculty of Engineering},
  title        = {Command line completion: an illustration of learning and decision making using the imprecise Dirichlet model},
  year         = {2003},
}