Guided Interactive Machine Learning

Guided Interactive Machine Learning

This thesis describes a combination of two current areas of research: the Crayons image classifier system and active learning. Currently Crayons provides no guidance to the user in what pixels should be labeled or when the task is complete. This work focuses on two main areas: 1) active learning for...

Full description

Bibliographic Details
Main Author: Pace, Aaron J.
Format: Others
Published: BYU ScholarsArchive 2006
Subjects:
Active Learning
Crayons
Confusion
Iterative Committee
Iterative Committee Correction
ICC
Distribution
Guidance
Thermometer Widget
Accuracy Estimation
Incremental Consistency
Image Classifier
Computer Sciences
Online Access:https://scholarsarchive.byu.edu/etd/477
https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=1476&context=etd

Internet

https://scholarsarchive.byu.edu/etd/477
https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=1476&context=etd

Similar Items