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 :
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