238 citations · 242 across the 4 of their papers we have counts for
4 papers
Towards Efficient Discriminative Pattern Mining in Hybrid Domains
Yoshitaka Kameya
Discriminative pattern mining is a data mining task in which we find patterns that distinguish transactions in the class of interest from those in other classes, and is also called…
A Logic-based Approach to Generatively Defined Discriminative Modeling
Taisuke Sato, Keiichi Kubota, Yoshitaka Kameya
Conditional random fields (CRFs) are usually specified by graphical models but in this paper we propose to use probabilistic logic programs and specify them generatively. Our inten…
Verbal Characterization of Probabilistic Clusters using Minimal Discriminative Propositions
Yoshitaka Kameya, Satoru Nakamura, Tatsuya Iwasaki +1
In a knowledge discovery process, interpretation and evaluation of the mined results are indispensable in practice. In the case of data clustering, however, it is often difficult t…
Parameter Learning of Logic Programs for Symbolic-Statistical Modeling
T. Sato, Y. Kameya
We propose a logical/mathematical framework for statistical parameter learning of parameterized logic programs, i.e. definite clause programs containing probabilistic facts with a…