Partial Queries for Constraint Acquisition
Abstract:
Learning constraint networks is known to require a number of membership queries exponential in the number of variables. In this paper, we learn constraint networks by asking the user partial queries. That is, we ask the user to classify assignments to subsets of the variables as positive or negative. We provide an algorithm, called QUAC...More
Code:
Data:
Full Text
Tags
Comments