 |
HAL-LIRMM - Open Archive |  |
Conference papers
Multiple Constraint Aquisition
Abstract : QUACQ is a constraint acquisition system that as- sists a non-expert user to model her problem as a constraint network by classifying (partial) exam- ples as positive or negative. For each negative ex- ample, QUACQ focuses onto a constraint of the tar- get network. The drawback is that the user may need to answer a great number of such examples to learn all the constraints. In this paper, we provide a new approach that is able to learn a maximum num- ber of constraints violated by a given negative ex- ample. Finally we give an experimental evaluation that shows that our approach improves on QUACQ.
Keywords :
Artificail Intelligence
Cited literature [5 references]
https://hal-lirmm.ccsd.cnrs.fr/lirmm-01374712
Contributor : Joël Quinqueton <>
Submitted on : Friday, September 30, 2016 - 9:20:35 PM
Last modification on : Friday, October 23, 2020 - 4:49:33 PM
Long-term archiving on: : Saturday, December 31, 2016 - 4:34:00 PM
Contributor : Joël Quinqueton <>
Submitted on : Friday, September 30, 2016 - 9:20:35 PM
Last modification on : Friday, October 23, 2020 - 4:49:33 PM
Long-term archiving on: : Saturday, December 31, 2016 - 4:34:00 PM
File
ijcai16-multiple.pdf
Files produced by the author(s)