Title	The role of logic and machine learning within a general theory of visualization
Creator	Goebel, Randy
Publisher	Banff International Research Station for Mathematical Innovation and Discovery
Date Issued	2015-07-25T10:35
Description	The role of logic and machine learning in visualization is not familiar to many, but the idea of visual inference requires inductive transformations from base data to visual data. These transformations need to be constrained by inference principles, including the construction of layers of knowledge, which generally are difficult to construct by hand. The idea is to describe how logic, learning, and visualization are connected, in order to help enable humans to make better inferences from growing volumes of data in every area of application.
Extent	47 minutes
Subject	Mathematics; Computer science; Biology and other natural sciences
Type	Moving Image
File Format	video/mp4
Language	eng
Notes	Author affiliation: University of Alberta
Series	BIRS Workshop Lecture Videos (Banff, Alta)
Date Available	2016-03-08
Provider	Vancouver : University of British Columbia Library
Rights	Attribution-NonCommercial-NoDerivatives 4.0 International
DOI	10.14288/1.0227973
URI	http://hdl.handle.net/2429/57083
Affiliation	Non UBC
Peer Review Status	Unreviewed
Scholarly Level	Faculty
Rights URI	http://creativecommons.org/licenses/by-nc-nd/4.0/
Aggregated Source Repository	DSpace

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