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AAAI
1996
15 years 7 months ago
Post-Analysis of Learned Rules
Rule induction research implicitly assumes that after producing the rules from a dataset, these rules will be used directly by an expert system or a human user. In real-life appli...
Bing Liu, Wynne Hsu
IUI
2009
ACM
16 years 3 months ago
What were you thinking?: filling in missing dataflow through inference in learning from demonstration
Recent years have seen a resurgence of interest in programming by demonstration. As end users have become increasingly sophisticated, computer and artificial intelligence technolo...
Melinda T. Gervasio, Janet L. Murdock
KCAP
2009
ACM
16 years 27 days ago
POIROT: acquiring workflows by combining models learned from interpreted traces
The POIROT project is a four-year effort to develop an architecture that integrates the products of a number of targeted reasoning and learning components to produce executable re...
Mark H. Burstein, Fusun Yaman, Robert Laddaga, Rob...
ECML
2007
Springer
16 years 17 days ago
Imitation Learning Using Graphical Models
Imitation-based learning is a general mechanism for rapid acquisition of new behaviors in autonomous agents and robots. In this paper, we propose a new approach to learning by imit...
Deepak Verma, Rajesh P. N. Rao
KCAP
2009
ACM
15 years 11 months ago
Combining vocabulary alignment techniques
Identifying alignments between vocabularies has become a central knowledge engineering activity. A plethora of alignment techniques has been developed over the past years. In this...
Anna Tordai, Jacco van Ossenbruggen, Guus Schreibe...