DocumentCode
2269
Title
Science as an Anomaly-Driven Enterprise: A Computational Approach to Generating Acceptable Theory Revisions in the Face of Anomalous Data
Author
. Milos Hauskrecht استاد مشاور , Greg Cooper استاد مشاور , Bruce Buchanan استاد راهنما
University
university of pittsburgh
Grade
دكتري
Major
Doctor of Philosophy
Number of pages
0
Publish Date
2004
Keyword
scientific discovery , anomaly resolution , Artificial Intelligence , Machine Learning , Theory revision , plausibility , hypothesis formation
Note
01
Language
انگليسي
Link To Document